Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study | Zendy

Wendong Ge | Zendy; Haitham Alabsi | Zendy; Aayushee Jain | Zendy; Elissa Ye | Zendy; Haoqi Sun | Zendy; Marta Fernandes | Zendy; Colin Magdamo | Zendy; Ryan A. Tesh | Zendy; Sarah Isabel Collens | Zendy; Amy Newhouse | Zendy; Lidia M.V.R. Moura | Zendy; Sahar F. Zafar | Zendy; John Hsu | Zendy; Oluwaseun Akeju | Zendy; Gregory K. Robbins | Zendy; Shibani S. Mukerji | Zendy; Sudeshna Das | Zendy; M. Brandon Westover | Zendy

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Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study

Author(s) -

Wendong Ge,

Haitham Alabsi,

Aayushee Jain,

Elissa Ye,

Haoqi Sun,

Marta Fernandes,

Colin Magdamo,

Ryan A. Tesh,

Sarah Isabel Collens,

Amy Newhouse,

Lidia M.V.R. Moura,

Sahar F. Zafar,

John Hsu,

Oluwaseun Akeju,

Gregory K. Robbins,

Shibani S. Mukerji,

Sudeshna Das,

M. Brandon Westover

Publication year - 2022

Publication title -

jmir formative research

Language(s) - English

Resource type - Journals

ISSN - 2561-326X

DOI - 10.2196/33834

Subject(s) - delirium , receiver operating characteristic , medicine , artificial intelligence , machine learning , confusion , confusion matrix , medical record , observational study , gold standard (test) , clinical decision support system , health records , natural language processing , intensive care medicine , computer science , decision support system , psychology , health care , psychoanalysis , economics , economic growth

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