Explainable machine learning to inform real-world evidence: A case study on small cell lung cancer survival analysis.

Authors

null

Luca Marzano

KTH Royal Institute of Technology, Stockholm, Sweden

Luca Marzano , Adam S. Darwich , Asaf Dan , Salomon Tendler , Jayanth Raghotama , Rolf Lewensohn , Luigi De Petris , Sebastiaan Meijer

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

2023 ASCO Breakthrough

Session Type

Poster Session

Session Title

Poster Session B

Track

Gastrointestinal Cancer,Gynecologic Cancer,Head and Neck Cancer,Quality of Care,Genetics/Genomics/Multiomics,Healthcare Equity and Access to Care,Healthtech Innovations,Models of Care and Care Delivery,Population Health,Viral-Mediated Malignancies

Sub Track

Real-World Evidence/Real-World Data

Citation

JCO Global Oncology 9, 2023 (suppl 1; abstr 113)

DOI

10.1200/GO.2023.9.Supplement_1.113

Abstract #

113

Poster Bd #

G8

Abstract Disclosures

Similar Posters

First Author: Patrizia Giannatempo

Poster

2023 ASCO Genitourinary Cancers Symposium

Local and systemic therapies for renal cell carcinoma with brain metastases: A single-institution series.

Local and systemic therapies for renal cell carcinoma with brain metastases: A single-institution series.

First Author: Teja Ganta

Poster

2023 ASCO Genitourinary Cancers Symposium

Evaluation of eligibility criteria in contemporary renal cell carcinoma based on ASCO-FCR recommendations.

Evaluation of eligibility criteria in contemporary renal cell carcinoma based on ASCO-FCR recommendations.

First Author: Sweta R. Prajapati

Poster

2019 ASCO Annual Meeting

ml-RECIST: Machine learning to estimate RECIST in patients with NSCLC treated with PD-(L)1 blockade.

ml-RECIST: Machine learning to estimate RECIST in patients with NSCLC treated with PD-(L)1 blockade.

First Author: Kathryn Cecilia Arbour