Meeting
2021 ASCO Annual Meeting
Evaluating a high-dimensional machine-learning model to predict hospital mortality among elderly cancer patients.
Authors
Edmund Qiao
Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA
Edmund Qiao , Alexander Qian , Vinit Nalawade , Terrence C. Lee , Nikhil V. Kotha , Rohith S. Voora , Christian Dameff , Christopher John Coyne , James Don Murphy
Disclaimer
This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org
Poster Details
Session Type
Poster Discussion Session
Session Title
Care Delivery and Regulatory Policy
Track
Care Delivery and Quality Care
Sub Track
Clinical Informatics/Advanced Algorithms/Machine Learning
Citation
J Clin Oncol 39, 2021 (suppl 15; abstr 1512)
DOI
10.1200/JCO.2021.39.15_suppl.1512
Abstract #
1512
Abstract Disclosures
Similar Posters
Poster
2023 ASCO Quality Care Symposium
Impact of self-directed exercise intervention in a minority rich, hematopoietic stem cell transplant (HSCT) inpatient population at high risk for sarcopenia and falls.
First Author: Rachel Brody
Poster
2023 ASCO Annual Meeting
The association of the comorbidity polypharmacy score (CPS) with functional limitations, frailty, and mortality in older adults with gastrointestinal malignancies.
First Author: Brian Westbrook
Poster
2022 ASCO Annual Meeting
Locoregional therapy trends by frailty and life expectancy in older adults with T1N0 hormone receptor-positive breast cancer.
First Author: Christina Ahn Minami
Poster
2022 ASCO Annual Meeting
Using G8 and carg toxicity score to predict emergency room (ER) visits, hospitalizations, and mortality in older patients with newly diagnosed cancer.
First Author: Amit Arora