Anoop D. Shah on Muck Rack

Anoop D. Shah

London
As seen in: Nature, PLOS ONE, Journal of Clinical Epidemiology, Asian Hospital & Healthcare Management
Clinical pharmacologist and internal medicine physician interested in electronic health records, epidemiology and public health. Views are my own.
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Articles

Disease coverage of human genome-wide association studies and pharmaceutical research and development - Communications Medicine

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By Maria Gordillo-Maranon, Amand F Schmidt, Chris Tomlinson Verified, Cai Ytsma, Jorgen Engmann, Rory MacLean Verified, Reecha Sofat, Claudia Langenberg, Anoop D. Shah, Munir Pirmohamed, Harry Hemingway, Aroon Hingorani
| Nature Verified
Abstract Despite the growing interest in the use of human genomic data for drug target identification and validation, the extent to which the spectrum of human disease has been addressed by genome-wide association studies (GWAS), or by drug development, and the degree to which these efforts overlap remain unclear.
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Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database

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By Anoop D. Shah, Anuradhaa Subramanian, Jadene Lewis
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Shah AD, Subramanian A, Lewis J, Dhalla S, Ford E, Haroon S, et al. (2023) Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database. PLoS ONE 18(9): e0290583. https://doi.org/10.1371/journal.pone.0290583 Editor: Sreeram V.
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Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease

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By Andrew Steele, Spiros Denaxas, Anoop D. Shah, Harry Hemingway
| PLOS
We used a cohort of over 80,000 patients from the CALIBER programme [ 26 ]. CALIBER links 4 sources of electronic health data in England: primary care health records (coded diagnoses, clinical measurements, and prescriptions) from 244 general practices contributing to the Clinical Practice Research Datalink (CPRD); coded hospital discharges (Hospital Episode Statistics, HES); the Myocardial Ischemia National Audit Project (MINAP); and death registrations (ONS).
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