Using autoencoders as a weight initialization method on deep neural networks for disease detection.
Journal:
BMC medical informatics and decision making
Published Date:
Aug 20, 2020
Abstract
BACKGROUND: As of today, cancer is still one of the most prevalent and high-mortality diseases, summing more than 9 million deaths in 2018. This has motivated researchers to study the application of machine learning-based solutions for cancer detection to accelerate its diagnosis and help its prevention. Among several approaches, one is to automatically classify tumor samples through their gene expression analysis.