Browse by UCL Departments and Centres
![[up]](/style/images/multi_up.png)
Up a levelGroup by: Author | Type
Number of items: 65.
A
Al Khleifat, A;
Iacoangeli, A;
Shatunov, A;
Fang, T;
Sproviero, W;
Jones, AR;
Opie-Martin, S;
... Al-Chalabi, A; + view all
(2019)
Telomere length is greater in ALS than in controls: a whole genome sequencing study.
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration
, 20
(3-4)
pp. 229-234.
10.1080/21678421.2019.1586951.
|
|
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.
|
 |
|
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.
|
|
B
|
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).
|
|
|
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.
|
|
|
Bean, DM;
Teo, J;
Wu, H;
Oliveira, R;
Patel, R;
Bendayan, R;
Shah, AM;
... Scott, PA; + view all
(2019)
Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data.
PLOS ONE
, 14
(11)
, Article e0225625. 10.1371/journal.pone.0225625.
|
|
|
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.
|
|
|
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.
|
|
C
|
Cann, James;
(2019)
Counting nodal components of boundary-adapted arithmetic random waves.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
Chauhan, G;
Adams, HHH;
Satizabal, CL;
Bis, JC;
Teumer, A;
Sargurupremraj, M;
Hofer, E;
... Stroke Genetics Network (SiGN), the International Stroke Genetic, .; + view all
(2019)
Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting.
Neurology
, 92
(5)
e486-e503.
10.1212/WNL.0000000000006851.
|
D
|
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).
|
|
|
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.
|
|
|
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.
|
|
|
Denniston, AK;
Lee, AY;
Lee, CS;
Crabb, DP;
Bailey, C;
Lip, P-L;
Taylor, P;
... Egan, CA; + view all
(2019)
United Kingdom Diabetic Retinopathy Electronic Medical Record (UK DR EMR) Users Group: report 4, real-world data on the impact of deprivation on the presentation of diabetic eye disease at hospital services.
British Journal of Ophthalmology
, 103
(6)
pp. 837-843.
10.1136/bjophthalmol-2018-312568.
|
|
|
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.
|
F
|
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.
|
|
|
Floridi, L;
Luetge, C;
Pagallo, U;
Schafer, B;
Valcke, P;
Vayena, E;
Addison, J;
... Kalra, D; + view all
(2019)
Key Ethical Challenges in the European Medical Information Framework.
Minds and Machines
, 29
pp. 355-371.
10.1007/s11023-018-9467-4.
|
|
Fusar-Poli, P;
Oliver, D;
Spada, G;
Patel, R;
Stewart, R;
Dobson, R;
McGuire, P;
(2019)
Real World Implementation of a Transdiagnostic Risk Calculator for the Automatic Detection of Individuals at Risk of Psychosis in Clinical Routine: Study Protocol.
Frontiers in Psychiatry
, 10
, Article 109. 10.3389/fpsyt.2019.00109.
|
|
G
|
Garfield, V;
Fatemifar, G;
Dale, C;
Smart, M;
Bao, Y;
Llewellyn, C;
Steptoe, A;
... Kumari, M; + view all
(2019)
Assessing potential shared genetic aetiology between body mass index and sleep duration in 142,209 individuals.
Genetic Epidemiology
, 43
(2)
pp. 207-214.
10.1002/gepi.22174.
|
|
H
|
Henry, A;
Katsoulis, M;
Masi, S;
Fatemifar, G;
Denaxas, S;
Acosta, D;
Garfield, V;
(2019)
The relationship between sleep duration, cognition, and dementia: A Mendelian randomization study.
International Journal of Epidemiology
, Article dyz071. 10.1093/ije/dyz071.
|
|
|
Hepgul, N;
Sleeman, KE;
Firth, AM;
Johnston, A;
Teo, JTH;
Bernal, W;
Dobson, RJB;
(2019)
In response to Ballantyne and Schaefer's 'Consent and the ethical duty to participate in health data research'.
Journal of Medical Ethics
, 45
(5)
pp. 351-352.
10.1136/medethics-2018-105271.
|
|
Herrett, E;
Gadd, S;
Jackson, R;
Bhaskaran, K;
Williamson, E;
van Staa, T;
Sofat, R;
... Smeeth, L; + view all
(2019)
Eligibility and subsequent burden of cardiovascular disease of four strategies for blood pressure-lowering treatment: a retrospective cohort study.
The Lancet
, 394
(10199)
pp. 663-671.
10.1016/S0140-6736(19)31359-5.
|
|
|
Hingorani, AD;
Kuan, V;
Finan, C;
Kruger, FA;
Gaulton, A;
Chopade, S;
Sofat, R;
... Casas, JP; + view all
(2019)
Improving the odds of drug development success through human genomics: modelling study.
Scientific Reports
, 9
(1)
, Article 18911. 10.1038/s41598-019-54849-w.
|
|
|
Hobbs, AJ;
Moyes, AJ;
Baliga, RS;
Ghedia, D;
Ochiel, R;
Sylvestre, Y;
Doré, CJ;
... MacAllister, RJ; + view all
(2019)
Neprilysin inhibition for pulmonary arterial hypertension: a randomized, double-blind, placebo-controlled, proof-of-concept trial.
British Journal of Pharmacology
, 176
(9)
pp. 1251-1267.
10.1111/bph.14621.
|
|
Hopkins, C;
Williamson, E;
Morris, S;
Clarke, CS;
Thomas, M;
Evans, H;
Little, P;
... MACRO programme team; + view all
(2019)
Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records.
Rhinology
, 57
(6)
pp. 420-429.
10.4193/Rhin19.136.
|
I
|
Iacoangeli, A;
Al Khleifat, A;
Jones, AR;
Sproviero, W;
Shatunov, A;
Opie-Martin, S;
Morrison, KE;
... Al-Chalabi, A; + view all
(2019)
C9orf72 intermediate expansions of 24-30 repeats are associated with ALS.
Acta Neuropathologica Communications
, 7
, Article 115. 10.1186/s40478-019-0724-4.
|
|
|
Iacoangeli, A;
Al Khleifat, A;
Sproviero, W;
Shatunov, A;
Jones, AR;
Morgan, SL;
Pittman, A;
... Al-Chalabi, A; + view all
(2019)
DNAscan: personal computer compatible NGS analysis, annotation and visualisation.
BMC Bioinformatics
, 20
, Article 213. 10.1186/s12859-019-2791-8.
|
|
|
Iacoangeli, A;
Al Khleifat, A;
Sproviero, W;
Shatunov, A;
Jones, AR;
Opie-Martin, S;
Naselli, E;
... Al-Chalabi, A; + view all
(2019)
ALSgeneScanner: a pipeline for the analysis and interpretation of DNA sequencing data of ALS patients.
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration
, 20
(3-4)
pp. 207-215.
10.1080/21678421.2018.1562553.
|
J
|
Jansen, IE;
Savage, JE;
Watanabe, K;
Bryois, J;
Williams, DM;
Steinberg, S;
Sealock, J;
... Posthuma, D; + view all
(2019)
Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk.
Nature Genetics
, 51
pp. 404-413.
10.1038/s41588-018-0311-9.
|
 |
K
|
Kuan, V;
Denaxas, S;
Gonzalez-Izquierdo, A;
Direk, K;
Bhatti, O;
Husain, S;
Sutaria, S;
... Hingorani, A; + view all
(2019)
A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service.
The Lancet Digital Health
, 1
(2)
e63-e77.
10.1016/S2589-7500(19)30012-3.
|
|
|
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.
|
L
|
Leon, LJ;
McCarthy, FP;
Direk, K;
Gonzalez-Izquierdo, A;
Prieto-Merino, D;
Casas, JP;
Chappell, L;
(2019)
Preeclampsia and Cardiovascular Disease in a Large UK Pregnancy Cohort of Linked Electronic Health Records: A CALIBER Study.
Circulation
, 140
(13)
pp. 1050-1060.
10.1161/CIRCULATIONAHA.118.038080.
|
|
Li, Q;
Li, X;
Wang, J;
Liu, H;
Kwong, JS-W;
Chen, H;
Li, L;
... Li, S; + view all
(2019)
Diagnosis and treatment for hyperuricemia and gout: a systematic review of clinical practice guidelines and consensus statements.
BMJ Open
, 9
(8)
, Article e026677. 10.1136/bmjopen-2018-026677.
|
|
|
Lumbers, RT;
Martin, N;
Manoharan, K;
Thomas, J;
Davies, LC;
(2019)
Do beta-blockers and inhibitors of the renin-angiotensin aldosterone system improve outcomes in patients with heart failure and left ventricular ejection fraction >40%?
[Editorial comment].
Heart
, 105
(20)
pp. 1533-1535.
10.1136/heartjnl-2018-313855.
|
|
M
|
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.
|
|
|
Marini, S;
Crawford, K;
Morotti, A;
Lee, MJ;
Pezzini, A;
Moomaw, CJ;
Flaherty, ML;
... Sheth, K; + view all
(2019)
Association of Apolipoprotein E With Intracerebral Hemorrhage Risk by Race/Ethnicity: A Meta-analysis.
JAMA Neurology
, 76
(4)
pp. 480-491.
10.1001/jamaneurol.2018.4519.
|
|
Matcham, F;
Barattieri di San Pietro, C;
Bulgari, V;
de Girolamo, G;
Dobson, R;
Eriksson, H;
Folarin, AA;
... RADAR-CNS consortium; + view all
(2019)
Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol.
BMC Psychiatry
, 19
(1)
, Article 72. 10.1186/s12888-019-2049-z.
|
|
|
McMahon, C;
Denaxas, SC;
(2019)
A novel metadata management model to capture consent for record linkage in longitudinal health research studies.
Informatics for Health and Social Care
, 44
(2)
pp. 176-188.
10.1080/17538157.2017.1364251.
|
P
|
Pasea, L;
Chung, S-C;
Pujades-Rodriguez, M;
Shah, AD;
Alvarez-Madrazo, S;
Allan, V;
Teo, JT;
... Hemingway, H; + view all
(2019)
Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis.
BMC Medicine
, 17
, Article 206. 10.1186/s12916-019-1438-y.
|
|
|
Patel, H;
Dobson, RJB;
Newhouse, SJ;
(2019)
A Meta-Analysis of Alzheimer’s Disease Brain Transcriptomic Data.
Journal of Alzheimer's Disease
, 68
(4)
pp. 1635-1656.
10.3233/JAD-181085.
|
|
Patel, H;
Hodges, AK;
Curtis, C;
Lee, SH;
Troakes, C;
Dobson, RJB;
Newhouse, SJ;
(2019)
Transcriptomic analysis of probable asymptomatic and symptomatic alzheimer brains.
Brain, Behavior, and Immunity
, 80
pp. 644-656.
10.1016/j.bbi.2019.05.009.
|
|
Patel, R;
Tragante, V;
Schmidt, AF;
McCubrey, RO;
Holmes, MV;
Howe, LJ;
Direk, K;
... Asselbergs, FW; + view all
(2019)
Subsequent Event Risk in Individuals with Established Coronary Heart Disease: Design and Rationale of the GENIUS-CHD Consortium.
Circulation: Genomic and Precision Medicine
, 12
(4)
pp. 145-160.
10.1161/CIRCGEN.119.002470.
|
|
|
Patel, RS;
Schmidt, AF;
Tragante, V;
McCubrey, RO;
Holmes, MV;
Howe, LJ;
Direk, K;
... Asselbergs, FW; + view all
(2019)
Association of Chromosome 9p21 with Subsequent Coronary Heart Disease Events: A GENIUS-CHD Study of Individual Participant Data.
Circulation: Genomic & Precision Medicine
, 12
(4)
pp. 161-172.
10.1161/CIRCGEN.119.002471.
|
|
|
Philpott, C;
Le Conte, S;
Beard, D;
Cook, J;
Sones, W;
Morris, S;
Clarke, CS;
... MACRO programme team; + view all
(2019)
Clarithromycin and endoscopic sinus surgery for adults with chronic rhinosinusitis with and without nasal polyps: study protocol for the MACRO randomised controlled trial.
Trials
, 20
, Article 246. 10.1186/s13063-019-3314-7.
|
|
|
Pikoula, M;
Jennifer K, Q;
Francis, N;
Harry, H;
Liam, S;
Spiros, D;
(2019)
Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records.
BMC Medical Informatics and Decision Making
, 19
(1)
, Article 86. 10.1186/s12911-019-0805-0.
|
|
R
|
Rafiq, M;
Hayward, A;
Warren-Gash, C;
Denaxas, S;
Gonzalez-Izquierdo, A;
Lyratzopoulos, G;
Thomas, S;
(2019)
Allergic disease, corticosteroid use and risk of Hodgkin's lymphoma: A UK Nationwide case-control study.
Journal of Allergy and Clinical Immunology
10.1016/j.jaci.2019.10.033.
(In press).
|
|
|
Rafiq, M;
Hayward, A;
Warren-Gash, C;
Denaxas, S;
Gonzalez-Izquierdo, A;
Lyratzopoulos, G;
Thomas, S;
(2019)
Socioeconomic deprivation and regional variation in Hodgkin’s lymphoma incidence in the UK: A population-based cohort study of 10 million individuals.
BMJ Open
, 9
(9)
, Article e029228. 10.1136/bmjopen-2019-029228.
|
|
|
Ranjan, Y;
Folarin, AA;
Stewart, C;
Conde, P;
Dobson, R;
Rashid, Z;
(2019)
Challenges & solutions in a hybrid mHealth mobile app.
In:
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers.
(pp. pp. 183-186).
ACM
|
|
|
Ranjan, Y;
Rashid, Z;
Stewart, C;
Conde, P;
Begale, M;
Verbeeck, D;
Boettcher, S;
... RADAR-CNS Consortium, .; + view all
(2019)
RADAR-Base: Open Source Mobile Health Platform for Collecting, Monitoring, and Analyzing Data Using Sensors, Wearables, and Mobile Devices.
JMIR mHealth uHealth
, 7
(8)
, Article e11734. 10.2196/11734.
|
|
|
Rees, K;
Takeda, A;
Martin, N;
Ellis, L;
Wijesekara, D;
Vepa, A;
Das, A;
... Stranges, S; + view all
(2019)
Mediterranean-style diet for the primary and secondary prevention of cardiovascular disease.
Cochrane Database of Systematic Reviews
, 2019
(3)
, Article CD009825. 10.1002/14651858.CD009825.pub3.
|
|
Ruparel, M;
Quaife, SL;
Dickson, JL;
Horst, C;
Burke, S;
Taylor, M;
Ahmed, A;
... Janes, SM; + view all
(2019)
Evaluation of cardiovascular risk in a lung cancer screening cohort.
Thorax
10.1136/thoraxjnl-2018-212812.
(In press).
|
|
|
Russ, TC;
Woelbert, E;
Davis, KAS;
Hafferty, JD;
Ibrahim, Z;
Inkster, B;
John, A;
... Zammit, S; + view all
(2019)
How data science can advance mental health research.
Nature Human Behaviour
, 3
pp. 24-32.
10.1038/s41562-018-0470-9.
|
S
|
Schmidt, AF;
Holmes, MV;
Preiss, D;
Swerdlow, DI;
Denaxas, S;
Fatemifar, G;
Faraway, R;
... Hingorani, AD; + view all
(2019)
Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9.
BMC Cardiovascular Disorders
, 19
(1)
, Article 240. 10.1186/s12872-019-1187-z.
|
|
|
Shah, AD;
Bailey, E;
Williams, T;
Denaxas, S;
Dobson, R;
Hemingway, H;
(2019)
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.
Journal of Biomedical Semantics
, 10
, Article 20. 10.1186/s13326-019-0214-4.
|
|
|
Sunkersing, David;
Martin, Finbarr C;
Reed, Julie;
Woringer, Maria;
Bell, Derek;
(2019)
What do care home managers believe constitutes an "assessment for frailty' of care home residents in North-West London? A survey.
BMC Geriatrics
, 19
(1)
, Article 62. 10.1186/s12877-019-1083-5.
|
|
T
|
Takeda, AL;
Martin, N;
Taylor, RS;
Taylor, SJC;
(2019)
Disease management interventions for heart failure.
Cochrane Database of Systematic Reviews
, 2019
(1)
, Article CD002752. 10.1002/14651858.CD002752.pub4..
|
|
Thom, HHZ;
Hollingworth, W;
Sofat, R;
Wang, Z;
Fang, W;
Bodalia, PN;
Bryden, PA;
... Welton, NJ; + view all
(2019)
Directly Acting Oral Anticoagulants for the Prevention of Stroke in Atrial Fibrillation in England and Wales: Cost-Effectiveness Model and Value of Information Analysis.
MDM Policy & Practice
, 4
(2)
10.1177/2381468319866828.
|
|
|
Tibble, H;
Tsanas, A;
Horne, E;
Horne, R;
Mizani, M;
Simpson, CR;
Sheikh, A;
(2019)
Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model.
BMJ Open
, 9
(7)
, Article e028375. 10.1136/bmjopen-2018-028375.
|
|
Tissot, H;
Dobson, R;
(2019)
Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese.
Journal of Biomedical Semantics
, 10
(Suppl 1)
, Article 17. 10.1186/s13326-019-0216-2.
|
|
U
|
Uijl, A;
Koudstaal, S;
Direk, K;
Denaxas, S;
Groenwold, RHH;
Banerjee, A;
Hoes, AW;
... Asselbergs, FW; + view all
(2019)
Risk factors for incident heart failure in age- and sex-specific strata: a population-based cohort using linked electronic health records.
European Journal of Heart Failure
10.1002/ejhf.1350.
(In press).
|
  |
W
|
WHO CVD Risk Chart Working Group, .;
(2019)
World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions.
The Lancet Global Health
, 7
(10)
e1332-e1345.
10.1016/S2214-109X(19)30318-3.
|
|
|
Williamson, E;
Denaxas, S;
Morris, S;
Clarke, C;
Thomas, M;
EVANS, H;
Direk, K;
... Carpenter, J; + view all
(2019)
Risk of mortality and cardiovascular events following macrolide prescription in chronic rhinosinusitis patients: a cohort study using linked primary care electronic health records.
Rhinology
, 57
(4)
pp. 252-260.
10.4193/Rhin18.237.
|
 |
|
Wiratunga, N;
Corsar, D;
Martin, K;
Wijekoon, A;
Elyan, E;
Cooper, K;
Ibrahim, Z;
... Chaudhuri, R; + view all
(2019)
Learning to self-manage by intelligent monitoring, prediction and intervention.
In:
CEUR Workshop Proceedings of 4th International Workshop on Knowledge Discovery in Healthcare Data, KDH 2019.
(pp. pp. 60-67).
CEUR-WS: Macao, China.
|
|
|
Wu, H;
Hodgson, K;
Dyson, S;
Morley, KI;
Ibrahim, ZM;
Iqbal, E;
Stewart, R;
... Sudlow, C; + view all
(2019)
Efficiently Reusing Natural Language Processing Models for Phenotype Identification in Free-text Electronic Medical Records: Methodological Study.
JMIR Medical Informatics
, 7
(4)
, Article e14782. 10.2196/14782.
|
|
Y
|
Yu, B;
Zanetti, KA;
Temprosa, M;
Albanes, D;
Appel, N;
Barrera, CB;
Ben-Shlomo, Y;
... Moore, SC; + view all
(2019)
The Consortium of Metabolomics Studies (COMETS): Metabolomics in 47 Prospective Cohort Studies.
American Journal of Epidemiology
, 188
(6)
pp. 991-1012.
10.1093/aje/kwz028.
|
 |
