Improving Multi-Tumor Biomarker Health Check-Up Tests with Machine Learning Algorithms
Abstract
Background: Tumor markers are used to screen tens of millions of individuals worldwide at annual health check-ups, especially in East Asia. Machine learning (ML)-based algorithms that improve the diagnostic accuracy and clinical utility of these tests can have substantial impact leading to the early diagnosis of cancer. Methods: ML-based algorithms, including a cancer screening algorithm and a secondary organ of origin algorithm, were developed...
Paper Details
Title
Improving Multi-Tumor Biomarker Health Check-Up Tests with Machine Learning Algorithms
Published Date
Jun 1, 2020
Journal
Volume
12
Issue
6
Pages
1442 - 1442
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