Prediction of hospitalization and waiting time within 24 hours of emergency department patients with unstructured text data

Hyeram Seo, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Ha Na Cho, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Dong-Woo Seo, Tae Joon Jun, Young-Hak Kim

Year of publication:	2024
Authors:	Seo, Hyeram ; Ahn, Imjin ; Gwon, Hansle ; Kang, Hee Jun ; Kim, Yunha ; Cho, Ha Na ; Choi, Heejung ; Kim, Minkyoung ; Han, Jiye ; Kee, Gaeun ; Park, Seohyun ; Seo, Dong-Woo ; Jun, Tae Joon ; Kim, Young-Hak
Published in:	Health care management science : a new journal serving the international health care management community. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9389, ZDB-ID 2006272-2. - Vol. 27.2024, 1, p. 114-129
Subject:	Electronic medical record \| Emergency department \| Explainable artificial intelligence \| Hospital admission prediction \| Machine learning \| Natural language processing \| Krankenhaus \| Hospital \| Künstliche Intelligenz \| Artificial intelligence \| Notaufnahme \| Patienten \| Patients \| Gesundheitsversorgung \| Health care \| E-Health \| E-health \| Warteschlangentheorie \| Queueing theory \| Gesundheitswesen \| Health care system \| Algorithmus \| Algorithm \| Ärzte \| Physicians
Description of contents:	Description [doi.org]

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.1007/s10729-023-09660-5 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015079846