Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning

Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning

This study assesses the feasibility of using machine learning to automatically populate a review of systems of all symptoms discussed in an encounter between a patient and a clinician.

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Bibliographische Detailangaben
Veröffentlicht in:Archives of internal medicine (1960) 2019-06, Vol.179 (6), p.836-838
Hauptverfasser: Rajkomar, Alvin, Kannan, Anjuli, Chen, Kai, Vardoulakis, Laura, Chou, Katherine, Cui, Claire, Dean, Jeffrey
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Feasibility
Letters
Machine learning
Online First
Physician patient relationships
Research Letter
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Beschreibung
Zusammenfassung:This study assesses the feasibility of using machine learning to automatically populate a review of systems of all symptoms discussed in an encounter between a patient and a clinician.
ISSN:2168-6106
2168-6114
DOI:10.1001/jamainternmed.2018.8558