IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector

• Published in: Peer-to-peer networking and applications Vol. 13; no. 6; pp. 2123 - 2134
• Main Authors: Muthu, BalaAnand, Sivaparthipan, C. B., Manogaran, Gunasekaran, Sundarasekar, Revathi, Kadry, Seifedine, Shanthini, A., Dasel, Antony
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2020; Springer Nature B.V
• Subjects: Artificial intelligence; Belief networks; Communications Engineering; Computer Communication Networks; Data mining; Engineering; Health care; Information Systems and Communication Service; Internet of Things; Networks; Physicians; Regression analysis; Regularization; Signal,Image and Speech Processing; Support systems; Wearable technology; Regularization _ genome wide association study; Disease prediction scheme; Artificial Intelligent (AI)Generalize approximate Reasoning base Intelligence Control (GARIC); Internet of things (IoT); Boltzmann belief network; Sensor

Humans with good health condition is some more difficult in today’s life, because of changing food habit and environment. So we need awareness about the health condition to the survival. The health-support systems faces significant challenges like lack of adequate medical information, preventable er...