Machine learning with Internet of Things data for risk prediction: Application in ESRD

Pages: 1 - 6
Published: May 29, 2018
Abstract
Connected objects are the key for many intelligent systems for instance, direct access to physical and physiological values and collecting information about the human body. Our research works aim to develop non-invasive methods that predict risk for dialysis patient in End-Stage Renal Disease (ESRD) at a smart home care system based on Internet of Things (IoT). However, the IoT components pose many new challenges in collecting more fine grained...
Paper Details
Title
Machine learning with Internet of Things data for risk prediction: Application in ESRD
Published Date
May 29, 2018
Journal
Pages
1 - 6
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