Mapping Data Mining Technique and Gamification Approach for Studying Post-Stroke Rehabilitation Training: A Systematic Literature Review-Reference-Cited by-同舟云学术

Mapping Data Mining Technique and Gamification Approach for Studying Post-Stroke Rehabilitation Training: A Systematic Literature Review

Published:2023 Issue: Volume:11 Page:31323-31340
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tuah Nooralisa Mohd¹^ORCID,Goh Daphne Lianeta¹,Nasirin Syed¹,Ahmedy Fatimah²,Hossin Mohammad³

Affiliation:

1. Faculty of Computing and Informatics, Universiti Malaysia Sabah, Labuan International Campus, Labuan, Malaysia

2. Sabah Rehabilitation Research and Service Group, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia

3. Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia

Funder

Universiti Malaysia Sabah

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10082927.pdf?arnumber=10082927

Reference52 articles.

1. Research on Data Mining Application of Orthopedic Rehabilitation Information for Smart Medical

2. Predicting cognitive recovery of stroke patients from the structural MRI connectome using a Naïve Bayesian tree classifier;dacosta-aguayo;Proc IEEE 30th Int Symp Comput -Based Med Syst (CBMS),2017

3. Prediction Scoring in Exergames for Rehabilitation Patients using K-Means Clustering

4. A Home Rehabilitation Comprehensive Care System for Patients with COPD Based on Comprehensive Care Pathway

5. Comparison of Machine Learning approaches for Classifying Upper Extremity Tasks in Individuals Post-Stroke

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