Decision Tree Algorithm Identifies Stroke Patients Likely Discharge Home After Rehabilitation Using Functional and Environmental Predictors
The importance of environmental factors for stroke patients to achieve home discharge was not scientifically proven. There are limited studies on the application of the decision tree algorithm with various functional and environmental variables to identify stroke patients with a high possibility of home discharge. The present study aimed to identify the factors, including functional and environmental factors, affecting home discharge after stroke inpatient rehabilitation using the machine learning method.
Source: Journal of Stroke and Cerebrovascular Diseases - Category: Neurology Authors: Takeshi Imura, Yuji Iwamoto, Tetsuji Inagawa, Naoki Imada, Ryo Tanaka, Haruki Toda, Yu Inoue, Hayato Araki, Osamu Araki Source Type: research
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