Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration

OBJECTIVE: Falls are one of the most frequently occurring adverse events among hospitalized patients. The Morse Fall Scale, which has been widely used for fall risk assessment, has the two limitations of low specificity and difficulty in practical implementation. The aim of this study was to develop...

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Detalles Bibliográficos
Autores principales: Shim, Soyun, Yu, Jae Yong, Jekal, Seyong, Song, Yee Jun, Moon, Ki Tae, Lee, Ju Hee, Yeom, Kyung Mi, Park, Sook Hyun, Cho, In Sook, Song, Mi Ra, Heo, Sejin, Hong, Jeong Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Emergency Medicine 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834835/
https://www.ncbi.nlm.nih.gov/pubmed/36128798
http://dx.doi.org/10.15441/ceem.22.354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834835/
https://www.ncbi.nlm.nih.gov/pubmed/36128798
http://dx.doi.org/10.15441/ceem.22.354

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