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Disambiguation of "Pathak, Jyotishman"

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Design patterns for the development of electronic health record-driven phenotype extraction algorithms.

, , , , , , , , , and . J. Biomed. Informatics, (2014)

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Trilochan Pathak

Nemaí Chand Pathak

Krishna Mani Pathak

Bhim Sen Pathak

Bhim Sen Pathak

 

Other publications of authors with the same name

What Information about Cardiovascular Diseases do People Search Online?, , , and . MIE, volume 205 of Studies in Health Technology and Informatics, page 1191. IOS Press, (2014)Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics., , , , , , and . MIE, volume 210 of Studies in Health Technology and Informatics, page 914-918. IOS Press, (2015)Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries., , , , , , , , , and 3 other author(s). J. Biomed. Informatics, (2019)Comparing Suicide Risk Insights derived from Clinical and Social Media data., , , , and . CoRR, (2020)Practical considerations for implementing genomic information resources., , , , , , , , , and 9 other author(s). Appl. Clin. Inform., 07 (03): 870-882 (2016)Developing a Modular Architecture for Creation of Rule-based Clinical Diagnostic Criteria., , , and . BDM2I@ISWC, volume 1428 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease., , , , , , , , , and 2 other author(s). CoRR, (2022)Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease., , , , , and . JAMIA, 17 (5): 568-574 (2010)A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments., , , , , , , , , and 14 other author(s). J. Am. Medical Informatics Assoc., 25 (11): 1540-1546 (2018)Visualizing machine learning-based predictions of postpartum depression risk for lay audiences., , , , , , , , , and 2 other author(s). J. Am. Medical Informatics Assoc., 31 (2): 289-297 (January 2024)