Primary tumor type prediction based on US nationwide genomic profiling data in 13,522 patients

Primary tumor type prediction based on US nationwide genomic profiling data in 13,522 patients

Timely and accurate primary tumor diagnosis is critical, and misdiagnoses and delays may cause undue health and economic burden. To predict primary tumor types based on genomics data from a de-identified US nationwide clinico-genomic database (CGDB), the XGBoost-based Clinico-Genomic Machine Learnin...

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Bibliographic Details
Main Authors: Yunru Huang, Shannon M. Pfeiffer, Qing Zhang
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Primary tumor type
Cancer diagnosis
Predictive model
Machine learning
Real-world data
Clinico-genomic database
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037023002696

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http://www.sciencedirect.com/science/article/pii/S2001037023002696

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