Prediction of ambulatory outcome in patients with corona radiata infarction using deep learning.

Kim, Jeoung Kun; Choo, Yoo Jin; Shin, Hyunkwang; Choi, Gyu Sang; Chang, Min Cheol

Kim, Jeoung Kun; Choo, Yoo Jin; Shin, Hyunkwang; Choi, Gyu Sang; Chang, Min Cheol.

Afiliação

Kim JK; Department of Business Administration, School of Business, Yeungnam University, Gyeongsan-si, Republic of Korea.
Choo YJ; Department of Rehabilitation Medicine, College of Medicine, Yeungnam University, 317-1, Daemyungdong, Namku, Taegu, 705-717, Republic of Korea.
Shin H; Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, Republic of Korea.
Choi GS; Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, Republic of Korea.
Chang MC; Department of Rehabilitation Medicine, College of Medicine, Yeungnam University, 317-1, Daemyungdong, Namku, Taegu, 705-717, Republic of Korea. wheel633@gmail.com.

Sci Rep ; 11(1): 7989, 2021 04 12.

Article em En | MEDLINE | ID: mdl-33846472

Assuntos

Infarto Encefálico/fisiopatologia; Aprendizado Profundo; Caminhada/fisiologia; Idoso; Área Sob a Curva; Humanos; Prognóstico; Curva ROC

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Caminhada / Infarto Encefálico / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de publicação: Reino Unido

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