A Screening Technique for Prostate Cancer by Hair Chemical Analysis and Artificial Intelligence

Authors:
Ping Wu;Kok Liang Heng;Shuo Wang Yang;Yi Feng Chen;Ravuru Subramanyam Mohan;Peter Huat Chye Lim
Affiliations:
-;-;-;-;-;-
Venue:
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Year:
1999

Citing 3
Cited 0

Introduction to statistical pattern recognition (2nd ed.)

Introduction to statistical pattern recognition (2nd ed.)
Computer-Aided Multivariate Analysis

Computer-Aided Multivariate Analysis
Probability and Statistics in the Engineering and Computer Sciences

Probability and Statistics in the Engineering and Computer Sciences

Quantified Score

Hi-index	0.01

Visualization

Abstract

Early detection of cancer may not only substantially reduce the overall health care costs but also reduce the long term morbidity and death from cancer. Although there are screening techniques available for prostate cancer, they all have practical limitations. In this paper, a new screening technique for prostate cancer is discussed. This technique applies artificial intelligence on the chemical analytical data of human scalp hair. Our study shows that it is possible to reveal relationship among hair trace elements and to establish correlation of multi element to prostate cancer etiology.