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Early Detection of Alzheimer's Using Artificial Intelligence for Effective Emotional Support Systems
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Author(s): A. Sivasangari (Sathyabama Institute of Science and Technology, India), V. J. K. Kishor Sonti (Sathyabama Institute of Science and Technology, India), L. Suji Helen (Sathyabama Institute of Science and Technology, India), D. Deepa (Sathyabama Institute of Science and Technology, India)and T. Samraj Lawrence (College of Engineering and Technology, Ethiopia)
Copyright: 2024
Pages: 17
Source title:
Machine Learning Algorithms Using Scikit and TensorFlow Environments
Source Author(s)/Editor(s): Puvvadi Baby Maruthi (Dayananda Sagar University, India), Smrity Prasad (Dayananda Sagar University, India)and Amit Kumar Tyagi ( National Institute of Fashion Technology, New Delhi, India)
DOI: 10.4018/978-1-6684-8531-6.ch009
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Abstract
The prominence of technological progress is evident only when its fruits reaching the society. Any disruptive technology has such a profound effect; artificial intelligence is not an exception. This chapter highlights one such technological impact for the benefit of mankind. Alzheimer's is a known neurological illness, sometimes leading to terminal stage of human life. The treatment becomes complicated when diagnosis takes place at a later stage of the disease. The prognosis and diagnosis, if supported by a technology such as artificial intelligence, will be made better by delaying the disease progression. In this chapter, machine learning algorithms such as random forest, cross validation method is used to analyze, train, and predict Alzheimer's disease and its progression. This in turn helps in improving the emotional support system to the patients. Several research groups are working on this domain, and here the insights provided are going to be more significant and useful for further investigations.
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