This paper is in the following e-collection/theme issue:

Cancer Prognosis Models and Machine Learning (71) Machine Learning (2124) Artificial Intelligence (2192) Cancer Survivorship (345) Precision Medicine (168) Cancer genomic data analysis (11)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74196, first published .
Explainable AI for Predicting Mortality Risk in Metastatic Cancer: Retrospective Cohort Study Using the Memorial Sloan Kettering-Metastatic Dataset

Explainable AI for Predicting Mortality Risk in Metastatic Cancer: Retrospective Cohort Study Using the Memorial Sloan Kettering-Metastatic Dataset

Explainable AI for Predicting Mortality Risk in Metastatic Cancer: Retrospective Cohort Study Using the Memorial Sloan Kettering-Metastatic Dataset

Authors of this article:

Polycarp Nalela1 Author Orcid Image ;   Deepthi Rao1 Author Orcid Image ;   Praveen Rao1 Author Orcid Image
Article Authors Cited by Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.