Donata Acula

University of Santo Tomas | UST · Institute of Information and Computing Sciences

Ovarian cancer is one of the leading causes of mortality among women. The most common detection approach is by tracking related biomarkers to see whether patient has ovarian cancer. Despite emphasis on biomarkers, feature subsets may include physiological features. In this current research, we propose an optimal simultaneous feature weighting/param...

This paper employed the intelligent approach based on machine learning categorized as base and ensemble methods in classifying the disaster risk in the Philippines. It focused on the Decision Trees, Support Vector Machine, Adaptive Boosting Algorithm with Decision Trees, and Support Vector Machine as base estimators. The research used the Exponenti...

The main focus of this research is the enhancement of the Hidden Markov Model by using some features of Neural Networks and the forecasted values of predictors by Seasonal Autoregressive Integrated Moving Average. The enhanced method was used to predict the close price of stocks whose predictors are open price, high price, low price, and volume of...