z-logo
open-access-imgOpen Access
Reduced Number of Parameters for Predicting Post-Stroke Activities of Daily Living Using Machine Learning Algorithms on Initiating Rehabilitation
Author(s) -
Ali Mohammad Alqudah,
Munder Al-Hashem,
Amin Alqudah
Publication year - 2021
Publication title -
informatica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 34
eISSN - 1854-3871
pISSN - 0350-5596
DOI - 10.31449/inf.v45i4.3570
Subject(s) - activities of daily living , decision tree , adaboost , machine learning , rehabilitation , stroke (engine) , feature selection , artificial intelligence , barthel index , computer science , scale (ratio) , correctness , algorithm , physical therapy , physical medicine and rehabilitation , medicine , support vector machine , engineering , mechanical engineering , physics , quantum mechanics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here