Neuro fuzzy based healthcare system using IoT

Numerous technologies have been explored in developing and enhancing the current healthcare amenities. Particularly, incorporation of Information and Communication Technology (ICT) in healthcare industry explored the possibilities to optimize the supply of all the available medical resources. It can also provide reliable, efficient healthcare services to the aged people, patients with physical disabilities and chronic illness. The proposed project is to design and develop an IoT-based healthcare system which is featured with Neuro Fuzzy self-learning method. The proposed system monitors the patients' physiological parameters as well as supports the medical professionals to diagnose the diseases as early as possible. The system will raise an alert signal in case of any abnormality and communicate with the caretakers as well as the doctors by sending message as tweets. The outcome of the system enables the healthcare professionals to optimize the usage of available medical resources and minimize the costs in monitoring the patients. The adaptive learning ability of the proposed system improves the forecasting accuracy and results in enhanced decisions in diagnosis of diseases.