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Real-Time Clinical Decision Support Based on Recurrent Neural Networks for In-Hospital Acute Kidney Injury: External Validation and Model Interpretation.
Kim, Kipyo; Yang, Hyeonsik; Yi, Jinyeong; Son, Hyung-Eun; Ryu, Ji-Young; Kim, Yong Chul; Jeong, Jong Cheol; Chin, Ho Jun; Na, Ki Young; Chae, Dong-Wan; Han, Seung Seok; Kim, Sejoong.
  • Kim K; Division of Nephrology and Hypertension, Department of Internal Medicine, Inha University College of Medicine, Incheon, Republic of Korea.
  • Yang H; Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea.
  • Yi J; Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea.
  • Son HE; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Ryu JY; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Kim YC; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • Jeong JC; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Chin HJ; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Na KY; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Chae DW; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Han SS; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • Kim S; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
J Med Internet Res ; 23(4): e24120, 2021 04 16.
Article en En | MEDLINE | ID: mdl-33861200
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Lesión Renal Aguda Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Lesión Renal Aguda Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article