Anoop D Shah - Concepedia

Author

Anoop D Shah

Also Known As

A D Shah, A. D. Shah, A. Shah, A.D. Shah, ANOOP SHAH, Anika Knueppel, Ankur D. Shah, Anoop Dinesh Shah, Anoop D Shah, Anoop D. Shah

168

Publications

9.8K

Citations

H-Index

Concepts

All Affiliations

University College London Farr Institute National Institute for Health Research Health Data Research UK King's College London

About

Anoop D Shah is an author at University College London specializing in medicine, health informatics, and epidemiology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	6	6	361
2	Engineering	4	4	306
3	Public Health	4	4	433
4	Health Sciences	2	2	69
5	Language Studies	1	1	14

Anoop D Shah

Publications

9.1K

Citations

H-Index

Page 1

	Year	Citations
Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people Eleni Rapsomaniki, Adam Timmis, Julie George, The Lancet	2014	1.6K
Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1·9 million people Anoop D Shah, Claudia Langenberg, Eleni Rapsomaniki, The Lancet Diabetes & Endocrinology	2014	1.2K
Symptoms and risk factors for long COVID in non-hospitalized adults Anuradhaa Subramanian, Krishnarajah Nirantharakumar, Sarah Hughes, Nature Medicine	2022	1.1K
Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study Anoop D Shah, Jonathan W. Bartlett, James R. Carpenter, American Journal of Epidemiology	2014	754
Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study Emily Herrett, Anoop D Shah, Rachael Boggon, BMJ	2013	369
Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records Steven Bell, Marina Daskalopoulou, Eleni Rapsomaniki, BMJ	2017	320
Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease Andrew J. Steele, Spiros Denaxas, Anoop D Shah, PLoS ONE EngineeringMachine LearningPrognosisPatient MortalityData Science	2018	238
Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER) Spiros Denaxas, Julie George, Emily Herrett, International Journal of Epidemiology	2012	237
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances Sumithra Velupillai, Hanna Suominen, Maria Liakata, Journal of Biomedical Informatics	2018	235
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER Spiros Denaxas, Arturo González-Izquierdo, Kenan Direk, Journal of the American Medical Informatics Association	2019	227

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