An approach to preprocess data in the diagnosis of Alzheimers Disease
The number of people surviving in older age is more.This is mainly due to the developments that have taken place in the field of medicine.Theseold people are prone to many age related diseases.There are numerous neuro degenerative brain related diseases.Dementia is one among them.The people affected by Dementia will have lapse of memory.Alzheimers disease is one of the types of dementia.Diagnosis of the disease is a time consuming task.To reduce the time needed for diagnosis the medical practitioners use system based approach.To help the practitioners researchers have developed various tools and techniques.In this paper the authors focus on classifications of subjects as diseased or not.Before doing classification the data has to be preprocessed.Preprocessing of data is done by applying techniques such as preparation of data,selection of attributes,balancing data,model evaluation and feature selection etc.The authors have collected the data of 466 subjects.The preprocessing techniques are applied on the data set.The subjects are classified using Na(i)ve bayes and J48.The accuracy of the classifications are compared and Na(i)ve bayes is found better.
Neuro psychological tests SMOTE Wrapping method Na(i)ve bayes J48.
Bhagya Shree S R Dr.H.S.Sheshadri
Research Scholar PET Research Center Mandya,India Prof.Department of E & C PES College of Engineering Mandya,India
国际会议
2014 International Conference on Cloud Computing and Internet of Things (CCIOT)(2014年第一届云计算和物联网国际会议)
长春
英文
135-139
2014-12-13（万方平台首次上网日期，不代表论文的发表时间）