Alzheimer-type dementia prediction by sparse logistic regression using claim data.

Fukunishi, Hiroaki; Nishiyama, Mitsuki; Luo, Yuan; Kubo, Masahiro; Kobayashi, Yasuki

Fukunishi, Hiroaki; Nishiyama, Mitsuki; Luo, Yuan; Kubo, Masahiro; Kobayashi, Yasuki.

Afiliação

Fukunishi H; School of Computer Science, Tokyo University of Technology, 1404-1 Katakuramachi, Hachioji City, Japan. Electronic address: fukunishiha@stf.teu.ac.jp.
Nishiyama M; 1st Government and Public Solutions Division, NEC Solution Innovators, Ltd., Japan.
Luo Y; Data Science Research Laboratories, NEC Corporation, 1753 Shimonumabe, Nakahara-ku, Kawasaki City, Japan.
Kubo M; Data Science Research Laboratories, NEC Corporation, 1753 Shimonumabe, Nakahara-ku, Kawasaki City, Japan.
Kobayashi Y; Department of Public Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, Japan.

Comput Methods Programs Biomed ; 196: 105582, 2020 Nov.

Article em En | MEDLINE | ID: mdl-32702573

Assuntos

Doença de Alzheimer; Idoso; Doença de Alzheimer/diagnóstico; Humanos; Japão; Modelos Logísticos; Aprendizado de Máquina

Palavras-chave

Alzheimer-type dementia; Health insurance claim data; Long-term care insurance claim data; Machine learning; Prediction; Sparse logistic regression

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans País/Região como assunto: Asia Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article

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