| Literature DB >> 32570599 |
Mohaimenul Islam1,2, Hsuan-Chia Yang1,2, Phung-Anh Nguyen1,2, Yu-Hsiang Wang1,2, Tahmina Nasrin Poly1,2, Yu-Chuan Jack Li1,2.
Abstract
We developed a deep learning approach for accurate prediction of PCA patients one year earlier with minimal features from electronic health records. The area under the receiver operating curve for prediction of PCA was 0.94. Moreover, the sensitivity and specificity of CNN were 0.87 and 0.88, respectively.Entities:
Keywords: Prostate cancer; convolutional neural network; deep learning; electronic health record
Year: 2020 PMID: 32570599 DOI: 10.3233/SHTI200382
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630