Browse by UCL people
Group by: Type | Date
Number of items: 16.
2024
Allen, NE;
Lacey, B;
Lawlor, DA;
Pell, JP;
Gallacher, J;
Smeeth, L;
Elliott, P;
... Collins, R; + view all
(2024)
Prospective study design and data analysis in UK Biobank.
Science Translational Medicine
, 16
(729)
, Article eadf4428. 10.1126/scitranslmed.adf4428.
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2023
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Fitzpatrick, Natalie K;
Dobson, Richard;
Roberts, Angus;
Jones, Kerina;
Shah, Anoop D;
Nenadic, Goran;
Ford, Elizabeth;
(2023)
Understanding Views Around the Creation of a Consented, Donated Databank of Clinical Free Text to Develop and Train Natural Language Processing Models for Research: Focus Group Interviews With Stakeholders.
JMIR Medical Informatics
, 11
, Article e45534. 10.2196/45534.
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2022
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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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2021
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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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2020
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Lai, AG;
Pasea, L;
Banerjee, A;
Hall, G;
Denaxas, S;
Chang, WH;
Katsoulis, M;
... Hemingway, H; + view all
(2020)
Estimated impact of the COVID-19 pandemic on cancer services and excess 1-year mortality in people with cancer and multimorbidity: near real-time data on cancer care, cancer deaths and a population-based cohort study.
BMJ Open
, 10
(11)
, Article e043828. 10.1136/bmjopen-2020-043828.
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2019
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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;
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;
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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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.
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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.
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2018
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Lea, NC;
Nicholls, J;
Fitzpatrick, NK;
(2018)
Between Scylla and Charybdis: Charting the Wicked Problem of Reusing Health Data for Clinical Research Informatics.
Yearbook of Medical Informatics
, 27
(1)
pp. 170-176.
10.1055/s-0038-1641219.
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2017
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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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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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Hemingway, H;
Feder, GS;
Fitzpatrick, NK;
Denaxas, S;
Shah, AD;
Timmis, AD;
(2017)
Using nationwide 'big data' from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme.
Programme Grants for Applied Research
, 5
(4)
xxxvi, 1-329.
10.3310/pgfar05040.
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Josephson, CB;
Gonzalez-Izquierdo, A;
Denaxas, S;
Fitzpatrick, NK;
Sajobi, TT;
Engbers, JDT;
Patten, S;
... Wiebe, S; + view all
(2017)
Serotonin reuptake inhibitors and mortality in epilepsy: A linked primary-care cohort study.
Epilepsia
, 58
(11)
pp. 2002-2009.
10.1111/epi.13904.
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2010
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Hemingway, H;
Philipson, P;
Chen, RL;
Fitzpatrick, NK;
Damant, J;
Shipley, M;
Abrams, KR;
... Hingorani, AD; + view all
(2010)
Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease.
PLOS Medicine
, 7
(6)
, Article e1000286. 10.1371/journal.pmed.1000286.
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