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Anoop D. Shah
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2020 – today
- 2023
- [j10]Musaab Elkheder, Arturo Gonzalez-Izquierdo
, Muhammad Qummer Ul Arfeen, Valerie Kuan, R. Thomas Lumbers
Translating and evaluating historic phenotyping algorithms using SNOMED CT. J. Am. Medical Informatics Assoc. 30(2): 222-232 (2023) - [c3]Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung
Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare. ICHI 2023: 544-549 - [i3]Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung, Ewart Jonathan Sheldon, Mohammad Al-Agil, Haris Shuaib, Xi Bai, Kawsar Noor, Anoop D. Shah, Richard J. B. Dobson, James T. Teo:
Validating transformers for redaction of text from electronic health records in real-world healthcare. CoRR abs/2310.04468 (2023) - 2022
- [j9]Honghan Wu
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. npj Digit. Medicine 5 (2022) - 2021
- [j8]Zeljko Kraljevic
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. Artif. Intell. Medicine 117: 102083 (2021) - [j7]Jordan Poulos
Data gaps in electronic health record (EHR) systems: An audit of problem list completeness during the COVID-19 pandemic. Int. J. Medical Informatics 150: 104452 (2021) - [j6]Alvina Grace Lai
An informatics consult approach for generating clinical evidence for treatment decisions. BMC Medical Informatics Decis. Mak. 21(1): 281 (2021) - [i2]Kawsar Noor, Lukasz Roguski, Alex Handy, Roman Klapaukh, Amos Folarin, Luis Romao, Joshua Matteson, Nathan Lea, Leilei Zhu, Wai Keong Wong, Anoop D. Shah, Richard J. B. Dobson:
Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals. CoRR abs/2108.06835 (2021) - 2020
- [j5]Hegler Correa Tissot
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 24(10): 2950-2959 (2020) - [i1]Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit. CoRR abs/2010.01165 (2020)
2010 – 2019
- 2019
- [j4]Anoop D. Shah
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. J. Biomed. Semant. 10(1): 20:1-20:10 (2019) - [j3]Spiros C. Denaxas
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J. Am. Medical Informatics Assoc. 26(12): 1545-1559 (2019) - 2018
- [j2]Sumithra Velupillai
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances. J. Biomed. Informatics 88: 11-19 (2018) - 2013
- [c2]Spiros C. Denaxas, Dipak Kalra, Eleni Rapsomaniki, Anoop D. Shah, Mar Pujades Rodriguez, Katherine Morley, Adam Timmis, Emily Herrett, Liam Smeeth, Harry Hemingway:
Electronic Health Record Linkages for Translational Cardiovascular Research in Nearly 2 Million People - Clinical Disease Research Using Linked Bespoke Studies and Electronic Records (CALIBER). AMIA 2013 - 2012
- [j1]Anoop D. Shah
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. 12: 88 (2012) - 2010
- [c1]Zhuoran Wang, John Shawe-Taylor
Semi-supervised feature learning from clinical text. BIBM 2010: 462-466
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