Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI.

Heo, Tak Sung; Kim, Yu Seop; Choi, Jeong Myeong; Jeong, Yeong Seok; Seo, Soo Young; Lee, Jun Ho; Jeon, Jin Pyeong; Kim, Chulho

Heo, Tak Sung; Kim, Yu Seop; Choi, Jeong Myeong; Jeong, Yeong Seok; Seo, Soo Young; Lee, Jun Ho; Jeon, Jin Pyeong; Kim, Chulho.

Afiliação

Heo TS; Department of Convergence Software, Hallym University, Chuncheon 24252, Korea.
Kim YS; Department of Convergence Software, Hallym University, Chuncheon 24252, Korea.
Choi JM; Department of Convergence Software, Hallym University, Chuncheon 24252, Korea.
Jeong YS; Department of Convergence Software, Hallym University, Chuncheon 24252, Korea.
Seo SY; Department of Convergence Software, Hallym University, Chuncheon 24252, Korea.
Lee JH; Department of Otorhinolaryngology and Head and Neck Surgery, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea.
Jeon JP; Department of Neurosurgery, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea.
Kim C; Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea.

J Pers Med ; 10(4)2020 Dec 16.

Article em En | MEDLINE | ID: mdl-33339385

Palavras-chave

deep learning; functional outcome; ischemic stroke; machine learning; magnetic resonance imaging; natural language processing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Pers Med Ano de publicação: 2020 Tipo de documento: Article País de publicação: Suíça

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