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Personalizing lung cancer risk prediction and imaging follow-up recommendations using the National Lung Screening Trial dataset
Author(s) -
Jason Hostetter,
James Morrison,
Michael Morris,
Jean Jeudy,
Kenneth C. Wang,
Eliot L. Siegel
Publication year - 2017
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocx012
Subject(s) - malignancy , medicine , nodule (geology) , lung cancer , lung cancer screening , radiology , lung , national lung screening trial , paleontology , biology
To demonstrate a data-driven method for personalizing lung cancer risk prediction using a large clinical dataset.

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