Looking for the Optimal Machine Learning Algorithm for the Ovarian Cancer Screening
Looking for the Optimal Machine Learning Algorithm for the Ovarian Cancer Screening
Hye-Jeong Song,Seung-Kyun Ko,2 Authors,Yu-Seop Kim
2013
7 Citations
TLDR
This research selects 15 biomarkers which are widely spread in the ovarian cancer diagnosis and finds the best three combinations which composed of two, three and four biomarkers by using Logistic Regression which is well known for its reliable performance.
