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Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons

Authors :
Nhan V, Do
Jaime C, Ramos
Nathanael R, Fillmore
Robert L, Grossman
Michael, Fitzsimons
Danne C, Elbers
Frank, Meng
Brett R, Johnson
Samuel, Ajjarapu
Corri L, DeDomenico
Karen E, Pierce-Murray
Robert B, Hall
Andrew F, Do
Kelly, Gaynor
Peter L, Elkin
Mary T, Brophy
Source :
Studies in health technology and informatics. 264
Publication Year :
2019

Abstract

We completed a pilot study to guide the development of the VA Research Precision Oncology Data Commons infrastructure as a collaboration platform with the greater research community. Our results using a small subset of patients from the VA's Precision Oncology Program demonstrate the feasibility of our data sharing platform to build predictive models for lung cancer survival using machine learning, as well as highlight the potential of target genome sequencing data.

Details

ISSN :
18798365
Volume :
264
Database :
OpenAIRE
Journal :
Studies in health technology and informatics
Accession number :
edsair.pmid..........0f7be259db28bd351107ab8b55ad35b3