Development of a Short-Form Stroke Impact Scale Using a Machine Learning Algorithm for Patients at the Subacute Stage

CONCLUSIONS AND RELEVANCE: The ML-SIS uses about half of the items in the SIS 3.0, has an estimated administration time of 10 min, and provides valid scores comparable to those of the original measure. Thus, the ML-SIS may be an efficient alternative to the SIS 3.0. What This Article Adds: The ML-SIS, a short form of the SIS 3.0 developed using a machine learning algorithm, shows good potential to be an efficient and informative measure for clinical settings, providing scores that are valid and comparable to those of the original measure.PMID:36410404 | DOI:10.5014/ajot.2022.049136

Source: The American Journal of Occupational Therapy - November 21, 2022 Category: Occupational Health Authors: Shih-Chieh Lee Inga Wang Gong-Hong Lin Pei-Chi Li Ya-Chen Lee Chia-Yeh Chou Chien-Yu Huang Ching-Lin Hsieh Source Type: research