Analysis of length of hospital stay using electronic health records: A statistical and data mining approach

The length of stay (LOS) is an important indicator of the efficiency of hospital management. Reduction in the number of inpatient days results in decreased risk of infection and medication side effects, improvement in the quality of treatment, and increased hospital profit with more efficient bed ma...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one Jg. 13; H. 4; S. e0195901
Hauptverfasser:	Baek, Hyunyoung, Cho, Minsu, Kim, Seok, Hwang, Hee, Song, Minseok, Yoo, Sooyoung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 13.04.2018 Public Library of Science (PLoS)
Schlagworte:	Antibiotics Artificial intelligence Asthma Biology and Life Sciences Cancer Cerebral infarction Comparative analysis Computer and Information Sciences Data mining Data processing Discharge Electronic health records Electronic medical records Electronic records Health risks Hospital records Hospitalization Hospitals Infarction Intensive care Management Medical care quality Medical diagnosis Medicine and Health Sciences Myocardial infarction Patients Pattern analysis Physical Sciences Rehabilitation Research and Analysis Methods Side effects Social Sciences Standard scores Statistical analysis Surgery Territory South Korea
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!