Machine learning prediction of motor response after deep brain stimulation in Parkinson’s disease—pr...
Machine learning prediction of motor response after deep brain stimulation in Parkinson’s disease—proof of principle in a retrospective cohort
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Publisher
United States: PeerJ. Ltd
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Language
English
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United States: PeerJ. Ltd
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Despite careful patient selection for subthalamic nucleus deep brain stimulation (STN DBS), some Parkinson's disease patients show limited improvement of motor disability. Innovative predictive analysing methods hold potential to develop a tool for clinicians that reliably predicts individual postoperative motor response, by only regarding clinical...
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Full title
Machine learning prediction of motor response after deep brain stimulation in Parkinson’s disease—proof of principle in a retrospective cohort
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TN_cdi_doaj_primary_oai_doaj_org_article_5328043136944eebb6f43a7224438a1e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5328043136944eebb6f43a7224438a1e
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ISSN
2167-8359
E-ISSN
2167-8359
DOI
10.7717/peerj.10317
