Computational prediction of diagnosis and feature selection on mesothelioma patient health records.
Journal:
PloS one
Published Date:
Jan 1, 2019
Abstract
BACKGROUND: Mesothelioma is a lung cancer that kills thousands of people worldwide annually, especially those with exposure to asbestos. Diagnosis of mesothelioma in patients often requires time-consuming imaging techniques and biopsies. Machine learning can provide for a more effective, cheaper, and faster patient diagnosis and feature selection from clinical data in patient records.