A Methodology to Rank the Patients Prone to Chronic Diseases in Telehealth

Khan, Fazl-E-Amin, Shahid Hussain, Humaira Afzal, Muhammad Rafiq Mufti, Asfandyar Khan, Arif Ali . 2019

From last decade, telehealth research community have started to use machine learning techniques to automate the certain aspects of healthcare systems for prediction of patients prone to chronic diseases such as checking of insulin level, cancer, and monitoring blood-glucose levels. Though existing automated systems aid the telehealth practitioner, however high computing effort, time, and cost is required in terms of several classifiers, multi class problem, or large sample size to obtained results on the basis of ground reality.

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418–425

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