Research on Rehabilitation Effect Prediction for Patients with SCI Based on Machine Learning
Author:
Funder
National Key Research and Development Program of China
Ministry of Science and Technology of the People's Republic of China
Publisher
Elsevier BV
Subject
Neurology (clinical),Surgery
Reference27 articles.
1. Spinal cord injury: lessons about neuroplasticity from paired associative stimulation;Ling;Neuroscientist,2020
2. Development of 3D-printed myoelectric hand orthosis for patients with spinal cord injury;Yoo;J Neuroeng Rehabil,2019
3. Home-based rehabilitation using a soft robotic hand glove device leads to improvement in hand function in people with chronic spinal cord injury: a pilot study;Osuagwu;J Neuroeng Rehabil,2020
4. The effectiveness of spinal cord injury ADL inpatient education on rehabilitation outcomes: a systematic review and meta-analysis;Abu-Mostafa;Brit J Occup Ther,2020
5. Use of regression tree analysis for predicting the functional outcome after traumatic spinal cord injury;Facchinello;J Neurotraum,2021
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1. Data-driven prediction of spinal cord injury recovery: An exploration of current status and future perspectives;Experimental Neurology;2024-10
2. Predicting the Outcome and Survival of Patients with Spinal Cord Injury Using Machine Learning Algorithms: A Systematic Review;World Neurosurgery;2024-08
3. Virtual Analysis for Spinal Cord Injury Rehabilitation;The Open Biomedical Engineering Journal;2024-05-16
4. Data-driven prediction of spinal cord injury recovery: an exploration of current status and future perspectives;2024-05-04
5. Machine learning predictive models in neurosurgery: an appraisal based on the TRIPOD guidelines. Systematic review;Neurosurgical Focus;2023-06
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