Deep Learning Approach for the Development of a Novel Predictive Model for Prostate Cancer

Mohaimenul Islam; Hsuan-Chia Yang; Phung-Anh Nguyen; Yu-Hsiang Wang; Tahmina Nasrin Poly; Yu-Chuan Jack Li

doi:10.3233/SHTI200382

Deep Learning Approach for the Development of a Novel Predictive Model for Prostate Cancer

Stud Health Technol Inform. 2020 Jun 16:270:1241-1242. doi: 10.3233/SHTI200382.

Authors

Mohaimenul Islam^{1

2}, Hsuan-Chia Yang^{1

2}, Phung-Anh Nguyen^{1

2}, Yu-Hsiang Wang^{1

2}, Tahmina Nasrin Poly^{1

2}, Yu-Chuan Jack Li^{1

2}

Affiliations

¹ Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
² International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan.

PMID: 32570599
DOI: 10.3233/SHTI200382

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: Prostate cancer; convolutional neural network; deep learning; electronic health record.

MeSH terms

Deep Learning*
Electronic Health Records
Humans
Male
Prostatic Neoplasms*