Elucidating factors influencing machine learning algorithm prediction in spasticity assessment: a prospective observational study-Reference-Cited by-同舟云学术

Elucidating factors influencing machine learning algorithm prediction in spasticity assessment: a prospective observational study

Published:2021-10-20 Issue: Volume: Page:1-14
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Mohamad Hashim Natiara¹,Yee Jingye²,Othman Nurul Atiqah³,Johar Khairunnisa³,Low Cheng Yee²,Hanapiah Fazah Akhtar¹⁴,Che Zakaria Noor Ayuni²

Affiliation:

1. Department of Rehabilitation Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Malaysia

2. Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

3. Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Malaysia

4. Daehan Rehabilitation Hospital Putrajaya, Malaysia

Funder

German Federal Ministry of Education and Research under the Research Alliance for Intelligent Systems in Medical Technology in Malaysia

Ministry of Energy, Science, Technology, Ministry of Science, Technology and Innovation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

Reference30 articles.