Browse by UCL people
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Number of items: 203.
Article
Abbasizanjani, H;
Torabi, F;
Bedston, S;
Bolton, T;
Davies, G;
Denaxas, S;
Griffiths, R;
... Akbari, A; + view all
(2023)
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration.
BMC Medical Informatics and Decision Making
, 23
(1)
, Article 8. 10.1186/s12911-022-02093-0.
(In press).
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Aldridge, RW;
Menezes, D;
Lewer, D;
Cornes, M;
Evans, H;
Blackburn, RM;
Byng, R;
... Hayward, A; + view all
(2019)
Causes of death among homeless people: a population-based cross-sectional study of linked hospitalisation and mortality data in England.
Wellcome Open Research
, 4
, Article 49. 10.12688/wellcomeopenres.15151.1.
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Alexander, N;
Alexander, DC;
Barkhof, F;
Denaxas, S;
(2021)
Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning.
BMC Medical Informatics and Decision Making
, 21
, Article 343. 10.1186/s12911-021-01693-6.
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Alexander, N;
Alexander, DC;
Barkhof, F;
Denaxas, S;
(2020)
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records.
Studies in Health Technology and Informatics
, 270
pp. 499-503.
10.3233/SHTI200210.
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Ali, Nabila MH;
Chawner, Samuel JRA;
Kushan-Wells, Leila;
Bearden, Carrie E;
Mulle, Jennifer Gladys;
Pollak, Rebecca M;
Gur, Raquel E;
... Van den Bree, Marianne BM; + view all
(2025)
Comparison of autism domains across thirty rare variant genotypes.
eBioMedicine
, 112
, Article 105521. 10.1016/j.ebiom.2024.105521.
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Allan, V;
Banerjee, A;
Shah, AD;
Patel, R;
Denaxas, S;
Casas, JP;
Hemingway, H;
(2016)
Net clinical benefit of warfarin in individuals with atrial fibrillation across stroke risk and across primary and secondary care.
Heart
, 103
(3)
pp. 210-218.
10.1136/heartjnl-2016-309910.
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Archangelidi, O;
Pujades-Rodriguez, M;
Timmis, A;
Jouven, X;
Denaxas, S;
Hemingway, H;
(2018)
Clinically recorded heart rate and incidence of 12 coronary, cardiac, cerebrovascular and peripheral arterial diseases in 233,970 men and women: A linked electronic health record study.
European Journal of Preventive Cardiology
, 25
(14)
pp. 1485-1495.
10.1177/2047487318785228.
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Austin-Zimmerman, I;
Wronska, M;
Wang, B;
Irizar, H;
Thygesen, JH;
Bhat, A;
Denaxas, S;
... Bramon, E; + view all
(2021)
The influence of CYP2D6 and CYP2C19 genetic variation on diabetes mellitus risk in people taking antidepressants and antipsychotics.
Genes
, 12
(11)
, Article 1758. 10.3390/genes12111758.
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Banerjee, A;
Pasea, L;
Chung, S-C;
Direk, K;
Asselbergs, F;
Grobbee, DE;
Kotecha, D;
... Hemingway, H; + view all
(2022)
A population-based study of 92 clinically recognised risk factors for heart failure: co-occurrence, prognosis and preventive potential.
European Journal of Hearth Failure
, 24
(3)
pp. 466-480.
10.1002/ejhf.2417.
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Banerjee, A;
Pasea, L;
Manohar, S;
Lai, AG;
Hemingway, E;
Sofer, I;
Katsoulis, M;
... and members of the Health Data Research UK COVID-19 Patient and; + view all
(2021)
'What is the risk to me from COVID-19?': Public involvement in providing mortality risk information for people with 'high-risk' conditions for COVID-19 (OurRisk.CoV).
Clinical Medicine Journal
, 21
(6)
e620-e628.
10.7861/clinmed.2021-0386.
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Banerjee, Amitava;
Dashtban, Ashkan;
Chen, Suliang;
Pasea, Laura;
Thygesen, Johan H;
Fatemifar, Ghazaleh;
Tyl, Benoit;
... Hemingway, Harry; + view all
(2023)
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study.
The Lancet Digital Health
, 5
(6)
e370-e379.
10.1016/S2589-7500(23)00065-1.
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Banerjee, A;
Allan, V;
Denaxas, S;
Shah, A;
Kotecha, D;
Lambiase, PD;
Jacob, J;
... Hemingway, H; + view all
(2019)
Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis.
EP Europace
10.1093/europace/euz220.
(In press).
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Banerjee, A;
Chen, S;
Fatemifar, G;
Zeina, M;
Lumbers, RT;
Mielke, J;
Gill, S;
... Hemingway, H; + view all
(2021)
Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility.
BMC Medicine
, 19
(1)
, Article 85. 10.1186/s12916-021-01940-7.
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Banerjee, A;
Chen, S;
Pasea, L;
Lai, AG;
Katsoulis, M;
Denaxas, S;
Nafilyan, V;
... Hemingway, H; + view all
(2021)
Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic.
European Journal of Preventive Cardiology
10.1093/eurjpc/zwaa155.
(In press).
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Banerjee, A;
Katsoulis, M;
Lai, AG;
Pasea, L;
Treibel, TA;
Manisty, C;
Denaxas, S;
... Moon, JC; + view all
(2020)
Clinical academic research in the time of Corona: A simulation study in England and a call for action.
PLoS One
, 15
(8)
, Article e0237298. 10.1371/journal.pone.0237298.
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Banerjee, A;
Pasea, L;
Harris, S;
Gonzalez-Izquierdo, A;
Torralbo, A;
Shallcross, L;
Noursadeghi, M;
... Hemingway, H; + view all
(2020)
Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study.
The Lancet
10.1016/S0140-6736(20)30854-0.
(In press).
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Barreto, ML;
Ichihara, MY;
Almeida, BA;
Barreto, ME;
Cabral, L;
Fiaccone, RL;
Carreiro, RP;
... Smeeth, L; + view all
(2019)
The centre for data and knowledge integration for health (CIDACS): Linking health and social data in Brazil.
International Journal of Population Data Science
, 4
(2)
10.23889/ijpds.v4i2.1140.
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Barrett, JE;
Cakiroglu, A;
Bunce, C;
Shah, A;
Denaxas, S;
(2020)
Selective recruitment designs for improving observational studies using electronic health records.
Statistics in Medicine
10.1002/sim.8556.
(In press).
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Bell, S;
Daskalopoulou, M;
Rapsomaniki, E;
George, J;
Britton, A;
Bobak, M;
Casas, JP;
... Hemingway, H; + view all
(2017)
Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records.
the BMJ
, 356
, Article j909. 10.1136/bmj.j909.
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Bidulka, P;
Scott, J;
Taylor, DM;
Udayaraj, U;
Caskey, F;
Teece, L;
Sweeting, M;
... Nitsch, D; + view all
(2022)
Impact of chronic kidney disease on case ascertainment for hospitalised acute myocardial infarction: an English cohort study.
BMJ Open
, 12
(3)
, Article e057909. 10.1136/bmjopen-2021-057909.
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Blackburn, RM;
Hayward, A;
Cornes, M;
McKee, M;
Lewer, D;
Whiteford, M;
Menezes, D;
... Aldridge, RW; + view all
(2017)
Outcomes of specialist discharge coordination and intermediate care schemes for patients who are homeless: analysis protocol for a population-based historical cohort.
BMJ Open
, 7
(12)
, Article e019282. 10.1136/bmjopen-2017-019282.
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Blackshaw, H;
Vennik, J;
Philpott, C;
Thomas, M;
Eyles, C;
Carpenter, J;
Clarke, CS;
... Hopkins, C; + view all
(2019)
Expert panel process to optimise the design of a randomised controlled trial in chronic rhinosinusitis (the MACRO programme).
Trials
, 20
, Article 230. 10.1186/s13063-019-3318-3.
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Boratto, M;
Alonso, P;
Pinto, C;
Melo, P;
Barreto, M;
Denaxas, S;
(2018)
Exploring hybrid parallel systems for probabilistic record linkage.
The Journal of Supercomputing
10.1007/s11227-018-2328-3.
(In press).
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Brakenhoff, TB;
Franks, B;
Goodale, BM;
Van de Wijgert, J;
Montes, S;
Veen, D;
Fredslund, EK;
... COVID-RED Consortium; + view all
(2021)
A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the Remote Early Detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.
Trials
, 22
, Article 694. 10.1186/s13063-021-05643-5.
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Brakenhoff, TB;
Franks, B;
Goodale, BM;
van de Wijgert, J;
Montes, S;
Veen, D;
Fredslund, EK;
... COVID-RED Consortium; + view all
(2021)
A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the remote early detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.
Trials
, 22
, Article 412. 10.1186/s13063-021-05241-5.
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Brauer, R;
Smeeth, L;
Anaya-Izquierdo, K;
Timmis, A;
Denaxas, SC;
Farrington, CP;
Whitaker, H;
... Douglas, I; + view all
(2015)
Antipsychotic drugs and risks of myocardial infarction: a self-controlled case series study.
European Heart Journal
, 36
(16)
pp. 984-992.
10.1093/eurheartj/ehu263.
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Bromage, DI;
Godec, TR;
Pujades-Rodriguez, M;
Gonzalez-Izquierdo, A;
Denaxas, S;
Hemingway, H;
Yellon, DM;
(2019)
Metformin use and cardiovascular outcomes after acute myocardial infarction in patients with type 2 diabetes: a cohort study.
Cardiovascular Diabetology
, 18
, Article 168. 10.1186/s12933-019-0972-4.
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Castro-de-Araujo, Luis Fernando Silva;
Cortes, Fanny;
de Siqueira Filha, Noêmia Teixeira;
Rodrigues, Elisângela da Silva;
Machado, Daiane Borges;
de Araujo, Jacyra Azevedo Paiva;
Lewis, Glyn;
... Barreto, Mauricio L; + view all
(2022)
Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature.
Frontiers in Psychology
, 13
, Article 940978. 10.3389/fpsyg.2022.940978.
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Chahal, C Anwar A;
Alahdab, Fares;
Asatryan, Babken;
Addison, Daniel;
Aung, Nay;
Chung, Mina K;
Denaxas, Spiros;
... Armoundas, Antonis A; + view all
(2025)
Data Interoperability and Harmonization in Cardiovascular Genomic and Precision Medicine.
Circulation: Genomic and Precision Medicine
, 18
(3)
, Article e004624. 10.1161/CIRCGEN.124.004624.
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Chapman, M;
Mumtaz, S;
Rasmussen, LV;
Karwath, A;
Gkoutos, GV;
Gao, C;
Thayer, D;
... Curcin, V; + view all
(2021)
Desiderata for the development of next-generation electronic health record phenotype libraries.
GigaScience
, 10
(9)
, Article giab059. 10.1093/gigascience/giab059.
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Chawner, SJRA;
Doherty, JL;
Anney, RJL;
Antshel, KM;
Bearden, CE;
Bernier, R;
Chung, WK;
... van den Bree, MBM; + view all
(2021)
A Genetics-First Approach to Dissecting the Heterogeneity of Autism: Phenotypic Comparison of Autism Risk Copy Number Variants.
The American Journal of Psychiatry
, 178
(1)
pp. 77-86.
10.1176/appi.ajp.2020.20010015.
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Chung, Sheng-Chia;
Providencia, Rui;
Sofat, Reecha;
Pujades-Rodriguez, Mar;
Torralbo, Ana;
Fatemifar, Ghazaleh;
Fitzpatrick, Natalie K;
... Denaxas, Spiros; + view all
(2022)
Incidence, morbidity, mortality and disparities in dementia: A population linked electronic health records study of 4.3 million individuals.
Alzheimer's & Dementia
10.1002/alz.12635.
(In press).
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Chung, S-C;
Pujades-Rodriguez, M;
Duyx, B;
Denaxas, SC;
Pasea, L;
Hingorani, A;
Timmis, A;
... Hemingway, H; + view all
(2018)
Time spent at blood pressure target and the risk of death and cardiovascular diseases.
PLoS One
, 13
(9)
, Article e0202359. 10.1371/journal.pone.0202359.
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Clarke, Caroline S;
Williamson, Elizabeth;
Denaxas, Spiros;
Carpenter, James R;
Thomas, Mike;
Blackshaw, Helen;
Schilder, Anne GM;
... MACRO programme team; + view all
(2022)
Observational retrospective study calculating health service costs of patients receiving surgery for chronic rhinosinusitis in England, using linked patient-level primary and secondary care electronic data.
BMJ Open
, 12
(2)
, Article e055603. 10.1136/bmjopen-2021-055603.
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Cleary, F;
Kim, L;
Prieto-Merino, D;
Wheeler, D;
Steenkamp, R;
Fluck, R;
Adlam, D;
... Nitsch, D; + view all
(2022)
Association between practice coding of chronic kidney disease (CKD) in primary care and subsequent hospitalisations and death: a cohort analysis using national audit data.
BMJ open
, 12
(10)
, Article e064513. 10.1136/bmjopen-2022-064513.
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Collins, Gary S;
Moons, Karel GM;
Dhiman, Paula;
Riley, Richard D;
Beam, Andrew L;
Van Calster, Ben;
Ghassemi, Marzyeh;
... Logullo, Patricia; + view all
(2024)
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.
BMJ
, 385
, Article e078378. 10.1136/bmj-2023-078378.
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Dashtban, Ashkan;
Mizani, Mehrdad A;
Pasea, Laura;
Denaxas, Spiros;
Corbett, Richard;
Mamza, Jil B;
Gao, He;
... Banerjee, Amitava; + view all
(2023)
Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals.
EBioMedicine
, 89
, Article 104489. 10.1016/j.ebiom.2023.104489.
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Daskalopoulou, M;
George, J;
Walters, K;
Osborn, DP;
Batty, GD;
Stogiannis, D;
Rapsomaniki, E;
... Hemingway, H; + view all
(2016)
Depression as a Risk Factor for the Initial Presentation of Twelve Cardiac, Cerebrovascular, and Peripheral Arterial Diseases: Data Linkage Study of 1.9 Million Women and Men.
PLOS One
, 11
(4)
, Article e0153838. 10.1371/journal.pone.0153838.
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Denaxas, S;
Direk, K;
Gonzalez-Izquierdo, A;
Pikoula, M;
Cakiroglu, A;
Moore, J;
Hemingway, H;
(2017)
Methods for enhancing the reproducibility of biomedical research findings using electronic health records.
BioData Mining
, 10
, Article 31. 10.1186/s13040-017-0151-7.
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Denaxas, S;
Gonzalez-Izquierdo, A;
Direk, K;
Fitzpatrick, NK;
Fatemifar, G;
Banerjee, A;
Dobson, RJB;
... Hemingway, H; + view all
(2019)
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
Journal of the American Medical Informatics Association
, 26
(12)
pp. 1545-1559.
10.1093/jamia/ocz105.
(In press).
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Denaxas, S;
Shah, AD;
Mateen, BA;
Kuan, V;
Quint, JK;
Fitzpatrick, N;
Torralbo, A;
... Hemingway, H; + view all
(2020)
A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems.
JAMIA Open
, Article ooaa047. 10.1093/jamiaopen/ooaa047.
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Denaxas, SC;
Asselbergs, FW;
Moore, JH;
(2016)
The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining.
BioData Mining
, 9
, Article 29. 10.1186/s13040-016-0109-1.
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Denaxas, SC;
George, J;
Herrett, E;
Shah, AD;
Kalra, D;
Hingorani, AD;
Kivimaki, M;
... Hemingway, H; + view all
(2012)
Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER).
International Journal of Epidemiology
, 41
(6)
pp. 1625-1638.
10.1093/ije/dys188.
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Dennis, JM;
Mateen, BA;
Sonabend, R;
Thomas, NJ;
Patel, KA;
Hattersley, AT;
Denaxas, S;
... Vollmer, SJ; + view all
(2020)
Type 2 Diabetes and COVID-19–Related Mortality in the Critical Care Setting: A National Cohort Study in England, March–July 2020.
Diabetes Care
10.2337/dc20-1444.
(In press).
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Dickerman, BA;
García-Albéniz, X;
Logan, RW;
Denaxas, S;
Hernán, MA;
(2020)
Emulating a target trial in case-control designs: an application to statins and colorectal cancer.
International Journal of Epidemiology
, 49
(5)
pp. 1637-1646.
10.1093/ije/dyaa144.
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Dickerman, Barbra A;
García-Albéniz, Xabier;
Logan, Roger W;
Denaxas, Spiros;
Hernán, Miguel A;
(2023)
Evaluating Metformin Strategies for Cancer Prevention: A Target Trial Emulation Using Electronic Health Records.
Epidemiology
, 34
(3)
pp. 690-699.
10.1097/EDE.0000000000001626.
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Dickerman, BA;
Garcia-Albeniz, X;
Logan, RW;
Denaxas, S;
Hernan, MA;
(2019)
Avoidable flaws in observational analyses: an application to statins and cancer.
Nature Medicine
, 25
(10)
pp. 1601-1605.
10.1038/s41591-019-0597-x.
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Dutey-Magni, P;
Gill, MJ;
Mcnulty, D;
Sohal, G;
Hayward, A;
Shallcross, L;
(2021)
Feasibility study of hospital antimicrobial stewardship analytics using electronic health records.
JAC-Antimicrobial Resistance
, 3
(1)
, Article dlab018. 10.1093/jacamr/dlab018.
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Elkheder, Musaab;
Gonzalez-Izquierdo, Arturo;
Qummer Ul Arfeen, Muhammad;
Kuan, Valerie;
Lumbers, R Thomas;
Denaxas, Spiros;
Shah, Anoop D;
(2022)
Translating and evaluating historic phenotyping algorithms using SNOMED CT.
Journal of the American Medical Informatics Association
10.1093/jamia/ocac158.
(In press).
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Eyre, M;
Burns, R;
Kirkby, V;
Smith, C;
Denaxas, S;
Nguyen, V;
Hayward, A;
... Aldridge, R; + view all
(2021)
Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study [version 2; peer review: 1 approved, 1 approved with reservations].
Wellcome Open Research
, 5
, Article 225. 10.12688/wellcomeopenres.16304.2.
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Eyre, MT;
Burns, R;
Kirkby, V;
Smith, C;
Denaxas, S;
Nguyen, V;
Hayward, A;
... Aldridge, RW; + view all
(2020)
Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study [version 1; peer review: 1 approved, 1 approved with reservations].
Wellcome Open Research
, 5
p. 225.
10.12688/wellcomeopenres.16304.1.
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Farmer, RE;
Mathur, R;
Schmidt, AF;
Bhaskaran, K;
Fatemifar, G;
Eastwood, SV;
Finan, C;
... Chaturvedi, N; + view all
(2019)
Associations Between Measures of Sarcopenic Obesity and Risk of Cardiovascular Disease and Mortality: A Cohort Study and Mendelian Randomization Analysis Using the UK Biobank.
Journal of the American Heart Association
, 8
(13)
, Article e011638. 10.1161/JAHA.118.011638.
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Gale, R;
Gill, C;
Pikoula, M;
Lee, AY;
Hanson, RLW;
Denaxas, S;
Egan, C;
... UK EMR Database Users Group; + view all
(2020)
Multicentre study of 4626 patients assesses the effectiveness, safety and burden of two categories of treatments for central retinal vein occlusion: intravitreal anti-vascular endothelial growth factor injections and intravitreal Ozurdex injections.
British Journal of Ophthalmology
10.1136/bjophthalmol-2020-317306.
(In press).
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Gale, R;
Pikoula, M;
Lee, AY;
Denaxas, S;
Egan, C;
Tufail, A;
Taylor, P;
(2020)
Real world evidence on 5661 patients treated for macular oedema secondary to branch retinal vein occlusion with intravitreal anti-vascular endothelial growth factor, intravitreal dexamethasone or macular laser.
British Journal of Ophthalmology
10.1136/bjophthalmol-2020-315836.
(In press).
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Garfield, V;
Farmaki, A-E;
Fatemifar, G;
Eastwood, SV;
Mathur, R;
Rentsch, CT;
Denaxas, S;
... Chaturvedi, N; + view all
(2021)
The Relationship Between Glycaemia, Cognitive Function, Structural Brain Outcomes and Dementia: A Mendelian Randomisation Study in the UK Biobank.
Diabetes
10.2337/db20-0895.
(In press).
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George, J;
Mathur, R;
Shah, AD;
Pujades-Rodriguez, M;
Denaxas, S;
Smeeth, L;
Timmis, A;
(2017)
Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients.
PLoS ONE
, 12
(6)
, Article e0178945. 10.1371/journal.pone.0178945.
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George, J;
Rapsomaniki, E;
Pujades-Rodriguez, M;
Shah, AD;
Denaxas, S;
Herrett, E;
Smeeth, L;
... Hemingway, H; + view all
(2015)
How Does Cardiovascular Disease First Present in Women and Men? Incidence of 12 Cardiovascular Diseases in a Contemporary Cohort of 1,937,360 People.
Circulation
, 132
(14)
pp. 1320-1328.
10.1161/CIRCULATIONAHA.114.013797.
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Gho, JMIH;
Schmidt, AF;
Pasea, L;
Koudstaal, S;
Pujades-Rodriguez, M;
Denaxas, S;
Shah, AD;
... Asselbergs, FW; + view all
(2018)
An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors.
BMJ Open
, 8
(3)
, Article e018331. 10.1136/bmjopen-2017-018331.
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Godec, Thomas R;
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Wright, F Lucy;
Cheema, Kate;
Goldacre, Raph;
Hall, Nick;
Herz, Naomi;
Islam, Nazrul;
Karim, Zainab;
... CVD-COVID-UK Consortium; + view all
(2022)
Effects of the COVID-19 pandemic on secondary care for cardiovascular disease in the UK: an electronic health record analysis across three countries.
European Heart Journal - Quality of Care and Clinical Outcomes
, Article qcac077. 10.1093/ehjqcco/qcac077.
(In press).
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Zhang, Ruiqi;
Mamza, Jil Billy;
Morris, Tamsin;
Godfrey, George;
Asselbergs, Folkert W;
Denaxas, Spiros;
Hemingway, Harry;
(2022)
Lifetime risk of cardiovascular-renal disease in type 2 diabetes: a population-based study in 473,399 individuals.
BMC Medicine
, 20
, Article 63. 10.1186/s12916-022-02234-2.
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Zheng, Sean L;
Henry, Albert;
Cannie, Douglas;
Lee, Michael;
Miller, David;
McGurk, Kathryn A;
Bond, Isabelle;
... Lumbers, R Thomas; + view all
(2024)
Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy.
Nature Genetics
, 56
(12)
pp. 2646-2658.
10.1038/s41588-024-01952-y.
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Zhou, S-M;
Fernandez-Gutierrez, F;
Kennedy, J;
Cooksey, R;
Atkinson, M;
Denaxas, S;
Siebert, S;
... Brophy, S; + view all
(2016)
Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis.
PLoS ONE
, 11
(5)
, Article e0154515. 10.1371/journal.pone.0154515.
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Book chapter
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Forssen, H;
Patel, R;
Fitzpatrick, N;
Hingorani, A;
Timmis, A;
Hemingway, H;
Denaxas, S;
(2017)
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data.
In: Randell, R and Cornet, R and McCowan, C and Peek, N and Scott, PJ, (eds.)
Informatics for Health: Connected Citizen-Led Wellness and Population Health.
(pp. 111-115).
IOS Press
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Proceedings paper
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Denaxas, Spiros;
Liu, Ge;
Feng, Qiping;
Fatemifar, Ghazaleh;
Bastarache, Lisa;
Kerchberger, Eric V;
Hingorani, Aroon D;
... Hemingway, Harry; + view all
(2021)
Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation.
In:
Proceeding of the AMIA Annual Symposium 2021.
(pp. pp. 362-371).
AMIA (American Medical Informatics Association)
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Denaxas, S;
Gonzalez-Izquierdo, A;
Fitzpatrick, N;
Direk, K;
Hemingway, H;
(2019)
Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: He CALIBER Resource.
In:
Health Informatics Vision: From Data via Information to Knowledge.
(pp. pp. 220-223).
IOS Press: Athens, Greece.
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Denaxas, S;
Gonzalez-Izquierdo, A;
Pikoula, M;
Direk, K;
Fitzpatrick, N;
Hemingway, H;
Smeeth, L;
(2017)
Methods for Enhancing the Reproducibility of Observational Research Using Electronic Health Records: Preliminary Findings From the Caliber Resource.
In: Bamidis, PD and Konstantinidis, ST and Rodrigues, PP, (eds.)
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS).
(pp. pp. 506-508).
IEEE: Thessaloniki, Greece.
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Denaxas, S;
Parkinson, H;
Fitzpatrick, N;
Sudlow, C;
Hemingway, H;
(2019)
Analyzing the heterogeneity of rule-based EHR phenotyping algorithms in CALIBER and the UK Biobank.
In: Wiratunga, N and Coenen, F and Sani, S, (eds.)
CEUR Workshop Proceedings vol 2429.
(pp. pp. 6-14).
CEUR: Macao, China.
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Denaxas, S;
Stenetorp, P;
Riedel, S;
Pikoula, M;
Dobson, R;
Hemingway, H;
(2018)
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data.
In:
Proceedings of the 32nd Conference on Neural Information Processing Systems (NIPS 2018).
: Montréal, Canada.
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Denaxas, SC;
Fatemifar, G;
Patel, R;
Hemingway, H;
(2017)
Deriving research-quality phenotypes from national electronic health records to advance precision medicine: a UK Biobank case-study.
In:
Proceedings of the BHI-2017 International Conference on Biomedical and Health Informatics.
IEEE Engineering in Medicine and Biology Society (EMBS): Orlando, FL, USA.
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Ibrahim, Z;
Wu, H;
Bach, K;
Dobson, R;
Denaxas, S;
Wiratunga, N;
Massie, S;
(2017)
Preface: The 2nd International Workshop on Knowledge Discovery in Healthcare Data (KDH).
In: Ibrahim, Z and Wu, H and Bach, K and Dobson, R and Denaxas, S and Wiratunga, N and Massie, S and Sani, S, (eds.)
KDH@IJCAI 2017: Knowledge Discovery in Healthcare Data: Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017).
(pp. pp. 3-4).
CEUR Workshop Proceedings: Melbourne, Australia.
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Mackintosh, M;
Gonzalez-Izquierdo, A;
Rossor, M;
Whitaker, K;
Direk, K;
Denaxas, S;
(2019)
Network Structures and Dynamics Of Early Dementia Events Recorded in Primary Care Electronic Health Records.
In: Kostkova, P and Wood, C and Bosman, A and Grasso, F and Edelstein, M, (eds.)
DPH2019: Proceedings of the International Conference on Digital Public Health.
(pp. p. 127).
Association for Computing Machinery (ACM): New York, NY, USA.
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Papež, V;
Denaxas, S;
Hemingway, H;
(2017)
Evaluating OpenEHR for Storing Computable Representations of Electronic Health Record Phenotyping Algorithms.
In:
Proceedings of the 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).
(pp. pp. 509-514).
IEEE: Thessaloniki, Greece.
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Papez, V;
Denaxas, S;
Hemingway, H;
(2017)
Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms.
In:
Proceedings - a conference of the American Medical Informatics Association.
AIMA: Washington, DC.
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Pinto, C;
Dantas, R;
Sena, S;
Reis, S;
Fiaccone, R;
Amorim, L;
Barreto, M;
... Barreto, M; + view all
(2017)
Accuracy of probabilistic record linkage applied to the Brazilian 100 million cohort project.
In:
Proceedings of the BHI-2017 International Conference on Biomedical and Health Informatics.
IEEE Engineering in Medicine and Biology Society (EMBS): Orlando, FL, USA.
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Pinto, C;
Pita, R;
Barbosa, G;
Araujo, B;
Bertoldo, J;
Sena, S;
Reis, S;
... Denaxas, S; + view all
(2017)
Probabilistic integration of large Brazilian socioeconomic and clinical databases.
In: Bamidis, PD and Konstantinidis, ST and Rodrigues, PP, (eds.)
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems (CBMS).
(pp. pp. 515-520).
IEEE: New York, USA.
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Pita, R;
Mendonca, E;
Reis, S;
Barreto, M;
Denaxas, S;
(2017)
A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage.
In: Bellatreche, L and Chakravarthy, S, (eds.)
Proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery: DaWaK 2017.
(pp. pp. 214-227).
Springer, Cham: Regensburg, Germany.
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Vauvelle, Andre;
Wild, Benjamin;
Eils, Roland;
Denaxas, Spiros C;
(2023)
Differentiable sorting for censored time-to-event data.
In: Oh, Alice and Naumann, Tristan and Globerson, Amir and Saenko, Kate and Hardt, Moritz and Levine, Sergey, (eds.)
Proceedings of the Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
Neural Information Processing Systems
(In press).
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Zhe, H;
Gonzalez-Izquierdo, A;
Denaxas, SC;
Sura, A;
Guo, Y;
Hogan, W;
Shenkman, E;
(2017)
Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.
In: Sarkar, N, (ed.)
American Medical Informatics Association (AMIA) 2017 Annual Symposium.
Hanley and Belfus, Inc.
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Working / discussion paper
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Katsoulis, M;
Lai, AG;
Kipourou, D-K;
Sofat, R;
Gomes, M;
Banerjee, A;
Denaxas, S;
... Diaz-Ordaz, K; + view all
(2020)
How to estimate the association between change in a risk factor and a health outcome?
ArXiv
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Conference item
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Denaxas, SC;
Kunz, H;
Smeeth, L;
Gonzalez-Izquierdo, A;
Boutselakis, H;
Pikoula, M;
Hemingway, H;
(2016)
Methods for enhancing the reproducibility of clinical epidemiology research in linked electronic health records: results and lessons learned from the CALIBER platform.
Presented at: 2016 International Population Data Linkage Conference (IPDLN), Swansea, UK.
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Erwood, M;
Wicks, F;
Wolstencroft, J;
Srinivasan, R;
Hall, J;
Van den Bree, M;
Denaxas, S;
... Raymond, FL; + view all
(2017)
Intellectual disability and copy number variants: mental health in the IMAGINE ID cohort.
Presented at: The 20th SSBP International Research Symposium, Oranjerie, Netherlands.
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Josephson, C;
Gonzalez-Iquierdo, A;
Denaxas, S;
Sajobi, T;
Klein, KM;
Wiebe, S;
(2023)
Independent associations of incident epilepsy, enzyme-inducing, and non-enzyme-inducing antiseizure medications with the development of osteoporosis: a population-based analysis.
Presented at: 35th International Epilepsy Congress, Dublin, Ireland.
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Kunz, H;
Pasea, L;
Denaxas, S;
(2019)
Classification of atherothrombotic events in myocardial infarctions survivors with supervised machine learning using data from an electronic health record system.
Presented at: International Conference on Informatics, Management and Technology in Healthcare, ICIMTH 2019, Athens, Greece.
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Poster
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Mackintosh, M;
Denaxas, S;
Rossor, M;
(2017)
Can primary care electronic health records facilitate the prediction of early cognitive decline associated with dementia: a systematic literature review.
Presented at: Informatics for Health 2017, Manchester, UK.
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Dataset
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Aldridge, R;
(2019)
Causes of death among homeless people: a population-based cross-sectional study of linked hospitalisation and mortality data in England.
[Dataset].
Wellcome Open: London, UK.
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