Trajectories of machine learning-predicted mortality risk among patients with cancer and associated end-of-life utilization.

Authors

null

Manqing Liu

University of Pennsylvania, Philadelphia, PA

Manqing Liu , Jinbo Chen , Eric Li , Runze Li , Ravi Bharat Parikh

Sign-In to See More Abstracts, Journal Articles, Posters, Videos and Slides and to Bookmark Your Favorite Content.

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

Meeting

2021 ASCO Annual Meeting

Session Type

Poster 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 1553)

DOI

10.1200/JCO.2021.39.15_suppl.1553

Abstract #

1553

Poster Bd #

Online Only

Abstract Disclosures

Similar Posters

First Author: Mihir Patel

Poster

2023 ASCO Annual Meeting

Quality for all: Clinical trial enrollment and end-of-life care in solid and hematologic malignancies.

Quality for all: Clinical trial enrollment and end-of-life care in solid and hematologic malignancies.

First Author: Melissa R Rosen

First Author: Ravi Bharat Parikh

First Author: Carley Mitchell