Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis

Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of different algorithms based on the same dataset for the classification of home discharge possibility. Therefore, we aimed to evaluate five supervised machine learning algorithms for the classification of home discharge possibility in stroke patients.

Source: Journal of Stroke and Cerebrovascular Diseases - July 26, 2021 Category: Neurology Authors: Takeshi Imura, Haruki Toda, Yuji Iwamoto, Tetsuji Inagawa, Naoki Imada, Ryo Tanaka, Yu Inoue, Hayato Araki, Osamu Araki Source Type: research