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Predicting Parkinson's disease using gradient boosting decision tree models with electroencephalography signals.
Lee, Seung-Bo; Kim, Yong-Jeong; Hwang, Sungeun; Son, Hyoshin; Lee, Sang Kun; Park, Kyung-Il; Kim, Young-Gon.
Affiliation
  • Lee SB; Office of Hospital Information, Seoul National University Hospital, Seoul, Republic of Korea. Electronic address: koreateam23@gmail.com.
  • Kim YJ; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea. Electronic address: somedaytobegood@gmail.com.
  • Hwang S; Department of Neurology, Ewha Womans University Mokdong Hospital, Seoul, Republic of Korea. Electronic address: neurosung@gmail.com.
  • Son H; Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea. Electronic address: hson727@gmail.com.
  • Lee SK; Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea. Electronic address: sangkun2923@gmail.com.
  • Park KI; Department of Neurology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea; Department of Neurology, Seoul National University College of Medicine, Seoul, Republic of Korea. Electronic address: ideopki@gmail.com.
  • Kim YG; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea; AI Institute, Seoul National University, Seoul, Republic of Korea. Electronic address: younggon2.kim@gmail.com.
Parkinsonism Relat Disord ; 95: 77-85, 2022 02.
Article in En | MEDLINE | ID: mdl-35051896
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Full text: 1 Database: MEDLINE Main subject: Parkinson Disease Type of study: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2022 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Parkinson Disease Type of study: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2022 Type: Article