Title :  Security Implementation in Internet of Medical Things

About Book

With the increase in the potential of digital processes, every industry generates huge amount of data. Advancement in intelligent computational methods such as Machine learning enables fast processing of collected data.  The application of Machine learning has already expanded across various domains namely healthcare, education, social media, political science, policy, and economics.   Google, Microsoft, Apple, and Facebook Technology giants are expanding their Artificial intelligence ecosystem by massive investment in AI based technologies. Healthcare is a multifaceted domain, which incorporates data collected from various sources such as remote monitoring, Medical Imaging, Electronic Health records, Wearable devices, Patient medical reports and medical devices etc. Machine learning in healthcare is becoming more widely used and is helping patients and clinicians medical billing, clinical decision support and the development of clinical care guidelines. There are many notable examples of machine learning and healthcare concepts being applied in medicine. AI is empowered with analyzing, classification and prediction ability. AI also facilitates the understanding of health-seeking behaviors and public emotions during pandemics. IoT makes the application connected, flexible and efficient. The nook shares real-world experience and knowledge

This book aims to bring researchers together to contribute their findings to recommend new methodologies and feasible solutions for implementing security and novel architecturesin artificial intelligence, machine learning and data science in the field of healthcare and IoT. It includes contributions by practitioners, technology developers and solution providers

Topics of Interest

• Medical Data preprocessing
• Ethical issues in medical data
• Deep Reinforcement Learning for Healthcare Industry
• AI and IoT based Architecture in Healthcare Industry
• Modern Machine Learning and IoT Applications for Personalized Healthcare
• IoT – Architecture Vulnerabilities and Security Measures  
• Security and privacy aspect of AI, IoT in Healthcare Industry
• Deep Learning Neural Networks
• Medical insurance fraud detection
• Pandemic prediction
• Wearable devices

Editors

• Dr. Luxmi Sapra, Graphic Era Hill University, Dehradun, India
• Dr. Akashdeep Bhardwaj,  University of Petroleum & Energy Studies, Dehradun, India
• Dr. Varun Sapra, University of Petroleum & Energy Studies, Dehradun, India

Publication

CRC Press 

Taylor & Francis Group

Contact

All questions about submissions should be emailed to ...luxmi.sapra@gmail.com, abhardwaj@ddn.upes.ac.in, varun.Sapra@ddn.upes.ac.in