Open AccessThe study of multiple diagnosis models of human prostate cancer based on Taylor database by artificial neural networks
Author(s) -
Funeng Jiang,
Lingyun Dai,
Yunxiang Wu,
ShengBang Yang,
YuXiang Liang,
Xin Zhang,
CuiYun Zou,
Renqiang He,
Xiaoming Xu,
Weide Zhong
Publication year - 2020
Publication title -
journal of the chinese medical association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.535
H-Index - 42
eISSN - 1728-7731
pISSN - 1726-4901
DOI - 10.1097/jcma.0000000000000299
Subject(s) - medicine , prostate cancer , artificial neural network , artificial intelligence , malignancy , learning vector quantization , receiver operating characteristic , machine learning , oncology , cancer , computer science
Prostate cancer (PCa) is the most common malignancy seen in men and the second leading cause of cancer-related death in males. The incidence and mortality associated with PCa has been rapidly increasing in China recently.