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Explainable machine learning using perioperative serial laboratory results to predict postoperative mortality in patients with peritonitis-induced sepsis.
Lim, Seung Hee; Kim, Min Jeong; Choi, Won Hyuk; Cheong, Jin Cheol; Kim, Jong Wan; Lee, Kyung Joo; Park, Jun Ho.
Affiliation
  • Lim SH; Department of Surgery, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
  • Kim MJ; Department of Surgery, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
  • Choi WH; Department of Surgery, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
  • Cheong JC; Department of Surgery, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
  • Kim JW; Department of Surgery, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
  • Lee KJ; Department of Medical Informatics & Statistics, Kangdong Sacred Heart Hospital, Seoul, Korea.
  • Park JH; Department of Surgery, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
Ann Surg Treat Res ; 105(4): 237-244, 2023 Oct.
Article de En | MEDLINE | ID: mdl-37908377
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Ann Surg Treat Res Année: 2023 Type de document: Article Pays de publication:
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Ann Surg Treat Res Année: 2023 Type de document: Article Pays de publication: