July 2020
Intermediate to advanced
448 pages
11h 7m
English
book
Recommender System with Machine Learning and Artificial Intelligence
by Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Sarika Jain, Ahmed A. Elngar, Priya Gupta
Content preview from Recommender System with Machine Learning and Artificial Intelligence
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16Development of a Recommender System HealthMudra Using Blockchain for Prevention of Diabetes
Rashmi Bhardwaj1* and Debabrata Datta2
1 University School of Basic & Applied Sciences, Nonlinear Dynamics Research Lab, Guru Gobind Singh Indraprastha University, Delhi, India
2 Radiological Physics & Advisory Division, Bhabha Atomic Research Centre, CT & CRS Building, Anushaktinagar, Mumbai, India
Abstract
HealthMudra is an algorithm coined as recommender system designed to generate protocol to prevent diabetes, most challenging disease in healthcare sector. HealthMudra is based on block chain technology embedded with suitable machine learning algorithms and optimization process. Recommendations are used by filtering. Prevention of diabetes be possible by reducing symptoms as prescribed by doctors. Information available to reduce symptoms of diabetes originated from large number of doctors can be stored in decentralized database named as Blockchain. Usage of blockchain helps patients to become true owners of their medical history. Similar to schema, patients can sign off transactions using their unique identification code in form of local keys and authorized access to history of data to users or researchers in field of machine learning/artificial intelligence and medical practitioners. HealthMudra being dynamical unstructured database has an incentive system that tracks all sorts of lifestyles of patient. HealthMudra provides risk assessment methodology on basis of epidemiological ...
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