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Patient Behavioral Analysis With Smart Healthcare and IoT
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Author(s): Sanjay Rajendra Mate (Sangam University, India & Bhilwara and Government Polytechnic Daman (Gujarat Technological University), India), Renuka Suryawanshi (MIT World Peace University, India), Manjusha Taur (Canadian Imperial Bank of Commerce, Canada)and Kishor S. Wagh (All India Shri Shivaji Memorial Society's Institute of Information Technology, India)
Copyright: 2023
Pages: 18
Source title:
Convergence of Deep Learning and Internet of Things: Computing and Technology
Source Author(s)/Editor(s): T. Kavitha (New Horizon College of Engineering (Autonomous), India & Visvesvaraya Technological University, India), G. Senbagavalli (AMC Engineering College, Visvesvaraya Technological University, India), Deepika Koundal (University of Petroleum and Energy Studies, Dehradun, India), Yanhui Guo (University of Illinois, USA)and Deepak Jain (Chongqing University of Posts and Telecommunications, China)
DOI: 10.4018/978-1-6684-6275-1.ch010
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Abstract
Consider a person with total mental capacity and an active lifestyle who can now not communicate or connect with the world around them due to a severe motor impairment to being locked into their body. Assume the person cannot notify their caregiver when uncomfortable or in distress. Caregivers dealing with locked-in patients must currently rely on their instincts, troubleshooting skills, and standard operating procedures to offer the best care possible. And with these safeguards in place, patients continue to suffer from needless rashes, illnesses, and deaths that should have been avoided. Modern technologies could significantly change this outcome and are being under-utilized in such healthcare environments. This chapter explores patient behavioral analysis with smart healthcare and IoT.
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