Machine Learning Techniques for Healthcare Applications: Early Autism Detection Using Ensemble Approach and Breast Cancer Prediction Using SMO and IBK

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Author(s): Rajamohana S. P. (PSG College of Technology, India), Dharani A. (PSG College of Technology, India), Anushree P. (PSG College of Technology, India), Santhiya B. (PSG College of Technology, India)and Umamaheswari K. (PSG College of Technology, India)
Copyright: 2019
Pages: 16
Source title: Cognitive Social Mining Applications in Data Analytics and Forensics
Source Author(s)/Editor(s): Anandakumar Haldorai (Sri Eshwar College of Engineering, India)and Arulmurugan Ramu (Presidency University, India)
DOI: 10.4018/978-1-5225-7522-1.ch012

Keywords: Data Analysis & Statistics / Information Science Reference / Library & Information Science / Social Computing

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Abstract

Autism spectrum disorder (ASD) is one of the common disorders in brain. Early detection of ASD improves the overall mental health, which is very important for the future of the child. ASD affects social coordination, emotions, and motor activity of an individual. This is due to the difficulties in getting self-evaluation results and expressive experiences. In the first case study in this chapter, an efficient method to automatically detect the expressive states of individuals with the help of physiological signals is explored. In the second case study of the chapter, the authors explore breast cancer prediction using SMO and IBK. Breast cancer is the second leading cause of cancer deaths in women worldwide and occurs in nearly one out of eight. In this proposed system, the tumor is the feature that is used to identify the breast cancer presence in women. Tumors are basically of two types (i.e., benign or malignant). In order to provide appropriate treatment to the patients, symptoms must be studied properly, and an automatic prediction system is required that will classify the tumor into benign or malignant using SMO and IBK.

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Machine Learning Techniques for Healthcare Applications: Early Autism Detection Using Ensemble Approach and Breast Cancer Prediction Using SMO and IBK

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