@article{dcd8186b53c24fa4b9905ec06c607f8c,
title = "Deep Learning Approach for the Development of a Novel Predictive Model for Prostate Cancer",
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.",
keywords = "Convolutional neural network, Deep learning, Electronic health record, Prostate cancer",
author = "Mohaimenul Islam and Yang, {Hsuan Chia} and Nguyen, {Phung Anh} and Wang, {Yu Hsiang} and Poly, {Tahmina Nasrin} and Li, {Yu Chuan Jack}",
note = "Publisher Copyright: {\textcopyright} 2020 European Federation for Medical Informatics (EFMI) and IOS Press.",
year = "2020",
month = jun,
day = "16",
doi = "10.3233/SHTI200382",
language = "English",
volume = "270",
pages = "1241--1242",
journal = "Studies in Health Technology and Informatics",
issn = "0926-9630",
publisher = "IOS Press BV",
}
