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Prospective evaluation of data-driven models to predict daily risk of Clostridioides difficile infection at 2 large academic health centers.
Kamineni, Meghana; Ötles, Erkin; Oh, Jeeheh; Rao, Krishna; Young, Vincent B; Li, Benjamin Y; West, Lauren R; Hooper, David C; Shenoy, Erica S; Guttag, John G; Wiens, Jenna; Makar, Maggie.
Affiliation
  • Kamineni M; Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Ötles E; Medical Scientist Training Program, University of Michigan Medical School, Ann Arbor, Michigan.
  • Oh J; Department of Industrial and Operations Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan.
  • Rao K; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan.
  • Young VB; Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, Michigan.
  • Li BY; Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, Michigan.
  • West LR; Medical Scientist Training Program, University of Michigan Medical School, Ann Arbor, Michigan.
  • Hooper DC; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan.
  • Shenoy ES; Infection Control Unit, Massachusetts General Hospital, Boston, Massachusetts.
  • Guttag JG; Infection Control Unit, Massachusetts General Hospital, Boston, Massachusetts.
  • Wiens J; Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts.
  • Makar M; Harvard Medical School, Boston, Massachusetts.
Infect Control Hosp Epidemiol ; 44(7): 1163-1166, 2023 Jul.
Article in En | MEDLINE | ID: mdl-36120815

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Clostridium Infections Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Infect Control Hosp Epidemiol Journal subject: DOENCAS TRANSMISSIVEIS / ENFERMAGEM / EPIDEMIOLOGIA / HOSPITAIS Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Clostridium Infections Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Infect Control Hosp Epidemiol Journal subject: DOENCAS TRANSMISSIVEIS / ENFERMAGEM / EPIDEMIOLOGIA / HOSPITAIS Year: 2023 Document type: Article