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Interpretable prediction of necrotizing enterocolitis from machine learning analysis of premature infant stool microbiota.
Lin, Yun Chao; Salleb-Aouissi, Ansaf; Hooven, Thomas A.
Affiliation
  • Lin YC; Department of Computer Science, Columbia University, 1214 Amsterdam Ave., Mailcode 0401, New York, 10027, USA.
  • Salleb-Aouissi A; Department of Computer Science, Columbia University, 1214 Amsterdam Ave., Mailcode 0401, New York, 10027, USA. as2933@columbia.edu.
  • Hooven TA; Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, USA.
BMC Bioinformatics ; 23(1): 104, 2022 Mar 25.
Article in En | MEDLINE | ID: mdl-35337258
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Enterocolitis, Necrotizing / Microbiota / Gastrointestinal Microbiome Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Infant / Newborn Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
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Print
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Enterocolitis, Necrotizing / Microbiota / Gastrointestinal Microbiome Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Infant / Newborn Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Country of publication: