Machine learning application to find patients with lower-risk myelodysplastic syndrome from real-world data.

Authors

null

Colden Johanson

Syapse, San Francisco, CA

Colden Johanson , Hu T. Huang , Danny Idryo , Ronda Broome , Matthew J. Rioth , Rayna K. Matsuno

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

2022 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 40, 2022 (suppl 16; abstr 1555)

DOI

10.1200/JCO.2022.40.16_suppl.1555

Abstract #

1555

Poster Bd #

148

Abstract Disclosures

Similar Posters

First Author: Maher Albitar