Unplanned Hospitalization Prediction During Chemoradiotherapy Via Machine Learning Classifiers
Author:
Affiliation:
1. Beijing University of Chinese Medicine Third Affiliated Hospital, Beijing, China
2. Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China
Publisher
American Medical Association (AMA)
Link
https://jamanetwork.com/journals/jamaoncology/articlepdf/2822929/jamaoncology_bai_2024_le_240026_1724266322.88403.pdf
Reference5 articles.
1. Machine learning-based prediction of hospitalization during chemoradiotherapy with daily step counts.;Friesner;JAMA Oncol,2024
2. Validation of a machine learning algorithm to predict 180-day mortality for outpatients with cancer.;Manz;JAMA Oncol,2020
3. Assessing performance of machine learning.;Pieszko;JAMA Cardiol,2021
4. The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification.;Chicco;BioData Min,2023
5. Prediction of high-risk donors for kidney discard and nonrecovery using structured donor characteristics and unstructured donor narratives.;Sageshima;JAMA Surg,2024
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