In this paper we propose a new method for classification of subjects into schizophrenia and control groups using functional magnetic resonance imaging (fMRI) data. In the preprocessing step, the number of fMRI time points is reduced using principal component analysis (PCA). Then, independent component analysis (ICA) is used for further data analysis. It estimates independent components (ICs) of...

since most common form of cervical cancer starts with pre-cancerous changes, a flawless detection of these changes becomes an important issue to prevent and treat the cervix cancer. there are 2 ways to stop this disease from developing. one way is to find and treat pre-cancers before they become true cancers, and the other is to prevent the pre-cancers in the first place. the presented approach...

different approaches have been proposed for feature selection to obtain suitable features subset among all features. these methods search feature space for feature subsets which satisfies some criteria or optimizes several objective functions. the objective functions are divided into two main groups: filter and wrapper methods.  in filter methods, features subsets are selected due to some measu...

a full investigation into the features extracted from voice signals of people with and without parkinson’s disease was performed. a total of 31 people with and without the disease participated in the data collection phase. their voice signals were recorded and processed. the relevant features were then extracted. a variety of feature selection methods have been utilized resulting in a good perf...

Robustness or stability of feature selection techniques is a topic of recent interest, and is an important issue when selected feature subsets are subsequently analysed by domain experts to gain more insight into the problem modelled. In this work, we investigate the use of ensemble feature selection techniques, where multiple feature selection methods are combined to yield more robust results....

Application of data mining methods as a decision support system has a great benefit to predict survival of new patients. It also has a great potential for health researchers to investigate the relationship between risk factors and cancer survival. But due to the imbalanced nature of datasets associated with breast cancer survival, the accuracy of survival prognosis models is a challenging issue...

Supervised learning algorithm based on an AIS using clonal selection is already proposed [1]. Even though some AIS for classification have been developed, an artificial immune system for classification with local feature selection model has a unique feature; it includes the local feature selection mechanism. The aim of feature selection is to reduce the dimension of the input vector by the sele...

This research paper presents a technique to select an ideal transformation technique of original and transformed features. The paper reviews about a comparative study of various data transformation techniques used in data mining which includes six types of transformation techniques Wavelets, Genetic Algorithm and Wrappers, Identity transform, Program synthesis, Data refinement transformation, a...