Your browser doesn't support javascript.
loading
Machine learning-based risk factor analysis of necrotizing enterocolitis in very low birth weight infants.
Cho, Hannah; Lee, Eun Hee; Lee, Kwang-Sig; Heo, Ju Sun.
Affiliation
  • Cho H; Department of Pediatrics, Korea University College of Medicine, Anam Hospital, 73 Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Korea.
  • Lee EH; Department of Pediatrics, Korea University Anam Hospital, Seoul, Korea.
  • Lee KS; Department of Pediatrics, Korea University College of Medicine, Anam Hospital, 73 Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Korea.
  • Heo JS; AI Center, Korea University College of Medicine, Anam Hospital, 73 Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Korea. ecophy@hanmail.net.
Sci Rep ; 12(1): 21407, 2022 Dec 10.
Article in En | MEDLINE | ID: mdl-36496465

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Enterocolitis, Necrotizing / Fetal Diseases / Infant, Newborn, Diseases Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Infant / Newborn Language: En Journal: Sci Rep Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Enterocolitis, Necrotizing / Fetal Diseases / Infant, Newborn, Diseases Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Infant / Newborn Language: En Journal: Sci Rep Year: 2022 Document type: Article Country of publication: