Journal article
Prevalence and predictors of C. difficile infections in hospitalized patients with major surgical procedures in the USA: Analysis using traditional and machine learning methods
The American journal of surgery, Vol.218(3), pp.661-662
09/2019
DOI: 10.1016/j.amjsurg.2018.11.014
PMID: 30528819
Abstract
•C.Difficile in the adults who underwent major surgical procedure may result in significant morbidity and mortality.•We used traditional and machine learning approach to assess association of C.Difficile infection and several variables.•We found that Machine Learning approach can be used to identify the adults at risk to develop C.Difficile infection.
Details
- Title: Subtitle
- Prevalence and predictors of C. difficile infections in hospitalized patients with major surgical procedures in the USA: Analysis using traditional and machine learning methods
- Creators
- Veerajalandhar Allareddy - Chief of Pediatric Cardiac Critical Care, Duke University, Durham, NC, USATong Wang - Department of Management Sciences - Tippie College of Business, The University of Iowa, Iowa City, IA, USASankeerth Rampa - Health Care Administration Program, School of Business – Rhode Island College, Providence, RI, USAJennifer Caplin - Department of Orthodontics, University of Illinois at Chicago College of Dentistry, Chicago, IL, USARomesh Nalliah - Department of Cariology, Restorative Sciences and Endodontics, School of Dentistry – University of Michigan, Ann Arbor, MI, USAAditya Badheka - Division of Pediatric Critical Care, Stead Family Children's Hospital, University of Iowa, Iowa City, IA, USAVeerasathpurush Allareddy - Department Head and Brodie Craniofacial Endowed Chair, Department of Orthodontics – University of Illinois at Chicago College of Dentistry, Chicago, IL, USA
- Resource Type
- Journal article
- Publication Details
- The American journal of surgery, Vol.218(3), pp.661-662
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.amjsurg.2018.11.014
- PMID
- 30528819
- ISSN
- 0002-9610
- eISSN
- 1879-1883
- Grant note
- name: Brodie Craniofacial Endowment
- Language
- English
- Date published
- 09/2019
- Academic Unit
- Critical Care; Stead Family Department of Pediatrics; Business Analytics
- Record Identifier
- 9984093340402771
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