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Title	Iot And Machine Learning For Early Prediction Of Neurological Disorders
ID_Doc	33605
Authors	Kumar V.; Jojo J.; Revathy G.; Shobana R.; Kumar G.; Kumar S.
Year	2024
Published	Impact of Digital Solutions for Improved Healthcare Delivery
DOI	http://dx.doi.org/10.4018/979-8-3693-5237-3.ch010
Abstract	Smart living, healthcare, cognitive smart cities, and social systems are impartial a rare of the areas in which technology related to health is being applied these days. A component of the rapidly evolving modern technology that deserves more attention is the intelligent, dependable, and pervasive healthcare system. Predicting, preventing, and treating illnesses is made possible for doctors by data collecting methods such as sensors aided by the Internet of Things (IoT). In order to assist doctors in monitoring the importance of symptoms and the course of therapy, machine learning (ML) algorithms have the latent to progress the accurateness of medical diagnosis and prognosis based on sensing data. A neurodegenerative condition affecting the neurological system is Parkinson's disease. © 2025, IGI Global. All rights reserved.
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