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Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.
Imura, Takeshi; Toda, Haruki; Iwamoto, Yuji; Inagawa, Tetsuji; Imada, Naoki; Tanaka, Ryo; Inoue, Yu; Araki, Hayato; Araki, Osamu.
Affiliation
  • Imura T; Department of Rehabilitation, Faculty of Health Sciences, Hiroshima Cosmopolitan University, 3-2-1, Otsuka-Higashi, Hiroshima 731-3166, Japan; Department of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan; Graduate School of Humanities and Social Sciences, Hiroshima University, Hirosh
  • Toda H; Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo Japan.
  • Iwamoto Y; Department of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan; Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
  • Inagawa T; Department of Neurosurgery, Araki Neurosurgical Hospital, Hiroshima, Japan.
  • Imada N; Department of Rehabilitation, Araki Neurosurgical Hospital, Hiroshima, Japan.
  • Tanaka R; Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan.
  • Inoue Y; Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan; Research Institute of Health and Welfare, Kibi International University, Okayama, Japan.
  • Araki H; Department of Neurosurgery, Araki Neurosurgical Hospital, Hiroshima, Japan.
  • Araki O; Department of Neurosurgery, Araki Neurosurgical Hospital, Hiroshima, Japan.
J Stroke Cerebrovasc Dis ; 30(10): 106011, 2021 Oct.
Article in En | MEDLINE | ID: mdl-34325274
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Discharge / Decision Support Techniques / Stroke / Supervised Machine Learning Type of study: Prognostic_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: J Stroke Cerebrovasc Dis Journal subject: ANGIOLOGIA / CEREBRO Year: 2021 Document type: Article Country of publication: United States
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Discharge / Decision Support Techniques / Stroke / Supervised Machine Learning Type of study: Prognostic_studies Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: J Stroke Cerebrovasc Dis Journal subject: ANGIOLOGIA / CEREBRO Year: 2021 Document type: Article Country of publication: United States