Predicting colorectal surgery readmission risk: a surgery-specific predictive model-Reference-Cited by-同舟云学术

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Predicting colorectal surgery readmission risk: a surgery-specific predictive model

Published:2023-05-02 Issue:3 Volume:13 Page:175-181
ISSN:2472-5579
Container-title:IISE Transactions on Healthcare Systems Engineering
language:en
Short-container-title:IISE Transactions on Healthcare Systems Engineering

Author:

Howell Thomas Clark¹^ORCID,Lumpkin Stephanie¹,Chaumont Nicole¹

Affiliation:

1. Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Funder

Agency for Healthcare Research and Quality

American Society of Colon and Rectal Surgeons

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725579.2023.2200210

Reference38 articles.

1. Can we better predict readmission for dehydration following creation of a diverting loop ileostomy: development and validation of a prediction model and web-based risk calculator

2. Readmissions after colorectal surgery cannot be predicted

3. Impact of surgical site infection on healthcare costs and patient outcomes: a systematic review in six European countries

4. C-Reactive Protein Values After Colorectal Resection: Can We Discharge a Patient With a C-Reactive Protein Value >100? A Retrospective Cohort Study

5. Simplified risk prediction indices do not accurately predict 30-day death or readmission after discharge following colorectal surgery

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2. Application of Machine Learning in Predicting Perioperative Outcomes in Patients with Cancer: A Narrative Review for Clinicians;Current Oncology;2024-05-11

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