Machine learning approaches to predict rehabilitation success based on clinical and patient-reported outcome measures-Reference-Cited by-同舟云学术

Machine learning approaches to predict rehabilitation success based on clinical and patient-reported outcome measures

Published:2021 Issue: Volume:24 Page:100598
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Tschuggnall Michael^ORCID,Grote Vincent^ORCID,Pirchl Michael,Holzner Bernhard^ORCID,Rumpold Gerhard^ORCID,Fischer Michael J.^ORCID

Publisher

Elsevier BV

Subject

Health Informatics

Reference64 articles.

1. Gbd 2015: from big data to meaningful change;The;Lancet,2016

2. The global burden of musculoskeletal pain—where to from here?;Blyth;Am J Publ Health,2019

3. Reducing the global burden of musculoskeletal conditions;Briggs;Bull World Health Organ,2018

4. F. Bachner, J. Bobek, K. Habimana, J. Ladurner, L. Leuschutz, H. Ostermann, L. Rainer, A. Schmidt, M. Zuba, W. Quentin, et al., Austria: health system review.

5. Hospital discharge statistics 2018;Austria,2019

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applying AI to Safely and Effectively Scale Care to Address Chronic MSK Conditions;Journal of Clinical Medicine;2024-07-26

2. A Deep Learning Approach for Classification of Physiotherapy Exercises Using Segmentation of Techniques;Balneo and PRM Research Journal;2024-06-21

3. Utilizing machine learning to predict post-treatment outcomes in chronic non-specific neck pain patients undergoing cervical extension traction;Scientific Reports;2024-05-23

4. Using Machine Learning to Predict Unplanned Hospital Utilization and Chemotherapy Management From Patient-Reported Outcome Measures;JCO Clinical Cancer Informatics;2024-04

5. Decision support framework for predicting rate of gait recovery with optimized treatment planning;Expert Systems with Applications;2024-03