Anoop D. Shah

Orcid: 0000-0002-8907-5724

According to our database1, Anoop D. Shah authored at least 14 papers between 2010 and 2023.

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Bibliography

2023
Translating and evaluating historic phenotyping algorithms using SNOMED CT.
J. Am. Medical Informatics Assoc., January, 2023

Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022.
npj Digit. Medicine, 2022

2021
An informatics consult approach for generating clinical evidence for treatment decisions.
BMC Medical Informatics Decis. Mak., 2021

Data gaps in electronic health record (EHR) systems: An audit of problem list completeness during the COVID-19 pandemic.
Int. J. Medical Informatics, 2021

Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals.
CoRR, 2021

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit.
Artif. Intell. Medicine, 2021

2020
Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial.
IEEE J. Biomed. Health Informatics, 2020

2019
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER.
J. Am. Medical Informatics Assoc., 2019

Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.
J. Biomed. Semant., 2019

2018
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.
J. Biomed. Informatics, 2018

2013
Electronic Health Record Linkages for Translational Cardiovascular Research in Nearly 2 Million People - Clinical Disease Research Using Linked Bespoke Studies and Electronic Records (CALIBER).
Proceedings of the AMIA 2013, 2013

2012
The freetext matching algorithm: a computer program to extract diagnoses and causes of death from unstructured text in electronic health records.
BMC Medical Informatics Decis. Mak., 2012

2010
Semi-supervised feature learning from clinical text.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010


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