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Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation
OBJECTIVE: Physical therapy is a common clinical treatment for patients with lumbar disc herniation. The study is aimed at exploring the feasibility of mathematical expression and curative effect prediction of physical therapy in patients with lumbar disc herniation using a logistic model and gradie...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117053/ https://www.ncbi.nlm.nih.gov/pubmed/35602348 http://dx.doi.org/10.1155/2022/4799248 |
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author | Zhao, Ping Xue, Jin Xu, Xiaomei Wang, Lifei Chen, Dan |
author_facet | Zhao, Ping Xue, Jin Xu, Xiaomei Wang, Lifei Chen, Dan |
author_sort | Zhao, Ping |
collection | PubMed |
description | OBJECTIVE: Physical therapy is a common clinical treatment for patients with lumbar disc herniation. The study is aimed at exploring the feasibility of mathematical expression and curative effect prediction of physical therapy in patients with lumbar disc herniation using a logistic model and gradient boosting machine (GBM). METHODS: A total of 142 patients with lumbar disc herniation were treated with physical therapy. The pain was evaluated by the visual analogue scale (VAS) before each treatment. The logistic model was used to conduct a global regression analysis on patients with lumbar disc herniation. The final results of the whole course of treatment were predicted by the measured values of 2-9 times of treatment. The GBM model was used to predict and analyze the curative effect of physical therapy. RESULTS: The mathematical expression ability of the logistic regression model for patients with lumbar disc herniation undergoing physical therapy was sufficient, and the global determination coefficient was 0.721. The results would be better for more than five measurements. The AUC of GBM mode logistic regression analysis was 0.936 and 0.883, and the prediction effect is statistically significant. CONCLUSION: Both the logistic and GBM model can fully express the changes in patients with lumbar disc herniation during physical therapy. |
format | Online Article Text |
id | pubmed-9117053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-91170532022-05-19 Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation Zhao, Ping Xue, Jin Xu, Xiaomei Wang, Lifei Chen, Dan Comput Math Methods Med Research Article OBJECTIVE: Physical therapy is a common clinical treatment for patients with lumbar disc herniation. The study is aimed at exploring the feasibility of mathematical expression and curative effect prediction of physical therapy in patients with lumbar disc herniation using a logistic model and gradient boosting machine (GBM). METHODS: A total of 142 patients with lumbar disc herniation were treated with physical therapy. The pain was evaluated by the visual analogue scale (VAS) before each treatment. The logistic model was used to conduct a global regression analysis on patients with lumbar disc herniation. The final results of the whole course of treatment were predicted by the measured values of 2-9 times of treatment. The GBM model was used to predict and analyze the curative effect of physical therapy. RESULTS: The mathematical expression ability of the logistic regression model for patients with lumbar disc herniation undergoing physical therapy was sufficient, and the global determination coefficient was 0.721. The results would be better for more than five measurements. The AUC of GBM mode logistic regression analysis was 0.936 and 0.883, and the prediction effect is statistically significant. CONCLUSION: Both the logistic and GBM model can fully express the changes in patients with lumbar disc herniation during physical therapy. Hindawi 2022-05-11 /pmc/articles/PMC9117053/ /pubmed/35602348 http://dx.doi.org/10.1155/2022/4799248 Text en Copyright © 2022 Ping Zhao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhao, Ping Xue, Jin Xu, Xiaomei Wang, Lifei Chen, Dan Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation |
title | Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation |
title_full | Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation |
title_fullStr | Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation |
title_full_unstemmed | Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation |
title_short | Logistic Model and Gradient Boosting Machine Model for Physical Therapy of Lumbar Disc Herniation |
title_sort | logistic model and gradient boosting machine model for physical therapy of lumbar disc herniation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117053/ https://www.ncbi.nlm.nih.gov/pubmed/35602348 http://dx.doi.org/10.1155/2022/4799248 |
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