Výsledky vyhledávání - "Jigar J. Amin"

Akademický článek

Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria.

Autor: Aaron M Cohen, Steven Chamberlin, Thomas Deloughery, Michelle Nguyen, Steven Bedrick, Stephen Meninger, John J Ko, Jigar J Amin, Alex J Wei, William Hersh

Publikováno v: PLoS ONE, Vol 15, Iss 7, p e0235574 (2020)

BACKGROUND:With the growing adoption of the electronic health record (EHR) worldwide over the last decade, new opportunities exist for leveraging EHR data for detection of rare diseases. Rare diseases are often not diagnosed or delayed in diagnosis b

Externí odkaz: https://doaj.org/article/3c242172f4d643efa903bb5106a36c43

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Akademický článek

Correction: Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria.

Autor: Aaron M Cohen, Steven Chamberlin, Thomas Deloughery, Michelle Nguyen, Steven Bedrick, Stephen Meninger, John J Ko, Jigar J Amin, Alex H Wei, William Hersh

Publikováno v: PLoS ONE, Vol 15, Iss 8, p e0238277 (2020)

[This corrects the article DOI: 10.1371/journal.pone.0235574.].

Externí odkaz: https://doaj.org/article/b01f1b70836d4bc3aa1e532d57cace48

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Detecting rare diseases in electronic health records using machine learning and knowledge engineering: Case study of acute hepatic porphyria

Autor: Steven R. Chamberlin, Steven Bedrick, Alex H. Wei, Stephen Meninger, William R. Hersh, Aaron Cohen, Jigar J. Amin, Michelle Nguyen, Thomas G. DeLoughery, John J. Ko

Publikováno v: PLoS ONE, Vol 15, Iss 7, p e0235574 (2020)
PLoS ONE
PLoS ONE, Vol 15, Iss 8, p e0238277 (2020)

BackgroundWith the growing adoption of the electronic health record (EHR) worldwide over the last decade, new opportunities exist for leveraging EHR data for detection of rare diseases. Rare diseases are often not diagnosed or delayed in diagnosis by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a148ac762b0fd8c30f68954e4526dda8
https://doaj.org/article/3c242172f4d643efa903bb5106a36c43

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Akademický článek

Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning.

Autor: Bhasuran B; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA 94143, United States., Schmolly K; David Geffen School of Medicine & Pfleger Liver Institute, University of California Los Angeles, Los Angeles, CA 90095, United States., Kapoor Y; Division of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, United States., Jayakumar NL; Division of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, United States., Doan R; Alnylam Pharmaceuticals, Cambridge, MA 02142, United States., Amin J; Alnylam Pharmaceuticals, Cambridge, MA 02142, United States., Meninger S; Alnylam Pharmaceuticals, Cambridge, MA 02142, United States., Cheng N; Alnylam Pharmaceuticals, Cambridge, MA 02142, United States., Deering R; Alnylam Pharmaceuticals, Cambridge, MA 02142, United States., Anderson K; Division of Gastroenterology and Hepatology, University of Texas Medical Branch, School of Medicine, Galveston, TX 77555, United States., Beaven SW; David Geffen School of Medicine & Pfleger Liver Institute, University of California Los Angeles, Los Angeles, CA 90095, United States., Wang B; Division of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, United States., Rudrapatna VA; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA 94143, United States.; Division of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, United States.

Publikováno v: Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2024 Jul 01. Date of Electronic Publication: 2024 Jul 01.

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Reducing diagnostic delays in Acute Hepatic Porphyria using electronic health records data and machine learning: a multicenter development and validation study.

Autor: Bhasuran B; Bakar Computational Health Sciences Institute, San Francisco, CA, 94143., Schmolly K; David Geffen School of Medicine & Pfleger Liver Institute, University of California Los Angeles, Los Angeles, CA 90095., Kapoor Y; Department of Medicine, University of California San Francisco, San Francisco, CA, 94143., Jayakumar NL; Department of Medicine, University of California San Francisco, San Francisco, CA, 94143., Doan R; Alnylam Pharmaceuticals, Cambridge, Massachusetts, MA 02142., Amin J; Alnylam Pharmaceuticals, Cambridge, Massachusetts, MA 02142., Meninger S; Alnylam Pharmaceuticals, Cambridge, Massachusetts, MA 02142., Cheng N; Alnylam Pharmaceuticals, Cambridge, Massachusetts, MA 02142., Deering R; Alnylam Pharmaceuticals, Cambridge, Massachusetts, MA 02142., Anderson K; Division of Gastroenterology and Hepatology, University of Texas Medical Branch, School of Medicine, Galveston, TX, 77555., Beaven SW; David Geffen School of Medicine & Pfleger Liver Institute, University of California Los Angeles, Los Angeles, CA 90095., Wang B; Department of Medicine, University of California San Francisco, San Francisco, CA, 94143., Rudrapatna VA; Bakar Computational Health Sciences Institute, San Francisco, CA, 94143.; Division of Gastroenterology and Hepatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, 94143.

Publikováno v: MedRxiv : the preprint server for health sciences [medRxiv] 2023 Aug 31. Date of Electronic Publication: 2023 Aug 31.

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