{"title":"[Research on Automatic Evaluation Method of Limb Dysfunction of Low Back Pain Based on MRI].","authors":"Songlin Zhai, Laixue Qi, Maojun Cheng","doi":"10.3969/j.issn.1671-7104.230309","DOIUrl":null,"url":null,"abstract":"<p><p>Based on preprocessed MRI images of low back pain patients, this study extracted MRI image features that can reflect the dysfunction of low back pain patients, and proposed a stacking ensemble learning algorithm model based on algorithm diversity, which provided a reliable method and an implementation method for the accurate assessment of limb dysfunction in low back pain patients.</p>","PeriodicalId":52535,"journal":{"name":"中国医疗器械杂志","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国医疗器械杂志","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.3969/j.issn.1671-7104.230309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Based on preprocessed MRI images of low back pain patients, this study extracted MRI image features that can reflect the dysfunction of low back pain patients, and proposed a stacking ensemble learning algorithm model based on algorithm diversity, which provided a reliable method and an implementation method for the accurate assessment of limb dysfunction in low back pain patients.
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