An interpretable machine learning study for developing a binary classifier for predicting rehospitalization from skilled nursing facilities

An interpretable machine learning study for developing a binary classifier for predicting rehospitalization from skilled nursing facilities

Reducing hospital readmissions for older adults discharged to a skilled nursing facility (SNF) is important to the Unites States (U.S.) both from financial and care quality perspectives. To identify potential risk factors, researchers have used data from claims, national surveys, and administrative...

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Bibliographic Details
Main Authors: Zhouyang Lou, Zachary Hass, Nan Kong
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Healthcare Analytics
Subjects:
Machine learning
Binary classification
Hospital readmission
Long-term care
Skilled nursing facility
Minimum data set
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442525000061
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