A Novel Machine Learning Approach to Predict Textbook Outcome in Colectomy
Amir Ashraf Ganjouei1, Fernanda Romero-Hernandez1, Patricia C Conroy1
1Department of Surgery, University of California San Francisco, San Francisco, California.
Diseases of the Colon and Rectum
|October 10, 2023
Summary
A machine learning model identified key factors predicting ideal surgical outcomes in colectomy patients. A web calculator can now help surgeons assess the probability of achieving a textbook outcome, aiding high-risk patient counseling.
Area of Science:
- Surgical Oncology
- Machine Learning in Medicine
- Health Informatics
Background:
- Existing risk calculators focus on complications, but predicting ideal outcomes (textbook outcomes) is crucial for clinical decision-making in low-risk procedures like colectomy.
- A textbook outcome is a composite measure representing an ideal surgical result, defined by no mortality, readmission, complications, reinterventions, and a short hospital stay.
More Related Videos
Related Concept Videos
01:24Kaplan-Meier Approach
155
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
155
01:21Cancer Survival Analysis
359
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
359