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Paper Details

Development and validation of models for detection of postoperative infections using structured electronic health records data and machine learning.
Surgery
6
2023
patients, pneumonia, sepsis, surgical site infection, urinary tract infection
Electronic Health Records, Humans, Machine Learning, Postoperative Complications, Retrospective Studies, Surgical Wound Infection, Urinary Tract Infections
Author NameAffiliation
Kathryn L ColbornUniversity of Colorado Anschutz Medical Campus, Colorado School of Public Health
Yaxu ZhuangColorado School of Public Health
Adam R DyasUniversity of Colorado Anschutz Medical Campus
William G HendersonUniversity of Colorado Anschutz Medical Campus, Colorado School of Public Health
Helen J MadsenUniversity of Colorado Anschutz Medical Campus
Michael R BronsertUniversity of Colorado Anschutz Medical Campus
Michael MathenyVanderbilt University Medical Center
Michael E MathenyVanderbilt University Medical Center
Anne Lambert-KerznerUniversity of Colorado Anschutz Medical Campus
Quintin W O MyersUniversity of Colorado Anschutz Medical Campus
Robert A MeguidUniversity of Colorado Anschutz Medical Campus
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Datasets

Release 1.2