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Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI

2025-04-09

Abstract excerpt

Cancer remains a leading global health challenge and a major cause of mortality. This study leverages machine learning (ML) to predict the survivability of cancer patients with metastatic patterns using the comprehensive MSK-MET dataset, which includes genomic and clinical data from 25,775 patients across 27 cancer types. We evaluated five ML models-XGBoost, Näıve Bayes, Decision Tree, Logistic Regression, and Ran...

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Literature Corpus work
1d1ddf1a-2723-5662-9ec4-d29708ff580b
DOI
10.1101/2025.04.08.25325462
Open publication

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Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AIDOI 10.1101/2025.04.08.25325462
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