- Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration
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Shim S, Yu JY, Jekal S, Song YJ, Moon KT, Lee JH, Yeom KM, Park SH, Cho IS, Song MR, Heo S, Hong JH
- KMID: 2538027
- Clin Exp Emerg Med.
- 2022 Dec;9(4):345-353.
- doi: 10.15441/ceem.22.354
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... -
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