Description
While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen.
Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.
Author's/Editor's Biography
Sudip Paul (Ed.)
Sudip Paul is currently Assistant Professor in Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India. It is Central University located in the northeast part of the country. He received his Ph.D degree from Indian Institute of Technology (Banaras Hindu University), Varanasi with specialization in Electrophysiology and brain signal analysis. He was selected as Post Doc Fellow under Biotechnology Overseas Associateship for the Scientists working in North Eastern States of India: 2017-18 supported by DBT, Government of India. He has many credentials in his credit out of which his First Prize in Sushruta Innovation Award 2011 sponsored by Department of Science and Technology, Govt. of India and also he also organized many workshops and conferences out of which most significant are the 29th Annual meeting of the SNCI, India and IRBO/APRC Associate School 2017. Dr. Sudip published more than 90 International journal and conference papers and also filled four patents. He is member of APSN, ISN, IBRO, SNCI, SfN, IEEE. He received many awards specially WFN travelling fellowship, Young Investigator Award, IBRO Travel Awardee and ISN Travel Awardee.