Development and Validation of Models for Preoperative Prediction of Risk and Postoperative Detection of Noninfectious Complications Using Interpretable Machine Learning and Electronic Health Record Data.
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| Title: | Development and Validation of Models for Preoperative Prediction of Risk and Postoperative Detection of Noninfectious Complications Using Interpretable Machine Learning and Electronic Health Record Data. |
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| Authors: | Dyas AR; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO., Stuart CM; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO., Fei Y; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO., Meguid RA; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO.; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO., Zhuang Y; Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO.; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO., Henderson WG; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO., Bronsert MR; Department of Surgery, Surgical Outcomes and Applied Research Program, University of Colorado Anschutz Medical Campus, Aurora, CO.; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO., Colborn KL; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO.; Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO.; Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus, Aurora, CO. |
| Source: | Annals of surgery [Ann Surg] 2026 Aug 01; Vol. 284 (2), pp. 273-280. Date of Electronic Publication: 2025 Mar 26. |
| Publication Type: | Journal Article; Validation Study; Multicenter Study |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0372354 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1140 (Electronic) Linking ISSN: 00034932 NLM ISO Abbreviation: Ann Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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