What is it about?
To introduce a new IoT-enabled healthcare system to the society to predict diabetes, cancer and heart diseases from their place, and also to measure the disease severity level and prevent and detect the disease early.
Featured Image
Photo by National Cancer Institute on Unsplash
Why is it important?
Many IoT enabled healthcare systems are available for predicting the specific diseases but such effective healthcare system for measuring the severity of diabetes, cancer and heart diseases is scarce. For this purpose, a new neuro-fuzzy model is used in the proposed IoT enabled healthcare system for disease prediction, which combines fuzzy rules with temporal features.
Perspectives
Writing this article was a great opportunity to have an association with the researchers. I hope this article will be a thought-provoking.
Sharmila Bhargavi V
R.M.K. Engineering College
Read the Original
This page is a summary of: IoT enabled healthcare system for predicting the diseases using feature optimization, decision tree, neural network, and fuzzy temporal rules, Concurrency and Computation Practice and Experience, September 2022, Wiley, DOI: 10.1002/cpe.7327.
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