Deep-learning-based personalized prediction of absolute neutrophil count recovery and comparison with clinicians for validation.

Choo, Hyunwoo; Yoo, Su Young; Moon, Suhyeon; Park, Minsu; Lee, Jiwon; Sung, Ki Woong; Cha, Won Chul; Shin, Soo-Yong; Son, Meong Hi

Choo, Hyunwoo; Yoo, Su Young; Moon, Suhyeon; Park, Minsu; Lee, Jiwon; Sung, Ki Woong; Cha, Won Chul; Shin, Soo-Yong; Son, Meong Hi.

Afiliação

Choo H; Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Seoul, Republic of Korea.
Yoo SY; Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.
Moon S; Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea.
Park M; Department of Information and Statistics, Chungnam National University, Korea 99 Daehak-ro, Yuseong-gu, Daejeon, Republic of Korea.
Lee J; Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sung KW; Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Cha WC; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Shin SY; Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Seoul, Republic of Korea; Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea. Electronic
Son MH; Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. Electronic address: meonghi.son@samsung.com.

J Biomed Inform ; 137: 104268, 2023 01.

Article em En | MEDLINE | ID: mdl-36513332

Assuntos

Aprendizado Profundo; Neoplasias; Neutropenia; Humanos; Criança; Neutrófilos; Neutropenia/induzido quimicamente; Neoplasias/tratamento farmacológico

Palavras-chave

Absolute neutrophil count recovery; Artificial intelligence; Deep learning model; Neutropenia

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias / Neutropenia Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Child / Humans Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article

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