Disease and Disorder Prediction using Health Parameters
Tools used: Weka
This was a project for CS831 (Knowledge Discovery in Databases) at University of Regina.
The project involved the use of various classification techniques (ZeroR, Naïve Bayes, Random Forest , K-Nearest Neighbor, and J48 Decision Tree) to determine the fetal state during pregnancy. The dataset used in this project contained various measurements of Fetal Heart Rate and Uterine Contraction features of Cardiotocogram findings.