Predicting 30-Day In-Hospital Mortality in Surgical Patients: A Logistic Regression Model Using Comprehensive Perioperative Data

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/enw6v
Primary Topic
Statistical Methods in Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Predicting 30-Day In-Hospital Mortality in Surgical Patients: A Logistic Regression Model Using Comprehensive Perioperative Data

OSF Preprints (OSF Preprints)
Statistical Methods in Epidemiology
article

Predicting 30-Day In-Hospital Mortality in Surgical Patients: A Logistic Regression Model Using Comprehensive Perioperative Data

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Abstract

No abstract available for this paper.
OSF Preprints (OSF Preprints)
Good health and well-being
Openalex Percentile: Top 61%
Statistical Methods in Epidemiology
DOIOpen Access PDFOpenAlex
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Predicting 30-Day In-Hospital Mortality in Surgical Patients: A Logistic Regression Model Using Comprehensive Perioperative Data · OSF Preprints (OSF Preprints) (2025) | TGRS Research Map | TGRS