Disease Prediction Using Machine Learning and Deep Learning

Abstract

Abstract: Health being the state of complete physical and mental wellbeing is an imperative part of humankind .Healthcare sector been a capital incentive sector having complicated entry barrier for investors like acquiring land for making hospital, stamp duties on it, human resource crunch which further act as roadblock for the government in providing universal good healthcare services to its citizenry . In this regard artificial intelligence is leading to disruption in the healthcare sector which is helping poor in safeguarding them from been exploited by extravagant out of pocket expenditure on unnecessary medical checkups and treatments and providing them on time health services. Moreover the compartmentalization of healthcare services between centre and state as it been the state subject in 7 schedule of Indian Constitution further make the task more discommoded. Artificial Intelligence finds a lot of applications in the healthcare sector which includes cancer detection, diabetes detection, heart disease detection, Malaria detection, Kidney disease detection and a lot more. So, leveraging on the opportunities thrown by the COVID and keeping in view the relaxations in Telehealth regularisation in the law of land by the government with taking silence bias in consideration we are developing a ecosystem for non communicable disease which can be use by a person with restricted medical knowledge as well as in ease of their home thereby making early disease detection and diagnosis handy. Therefore, disease must automatically be detected with higher precision if we provide the necessary inputs to our web solution so as to benefit user that are reluctant to visit hospital on the onset of minor symptoms .It will also helps in easing patient load on the doctor, healthcare system as our solution can give a basic idea of severity of the disease to the patient treating doctor by means of image processing technology at an early stage. It consists of image capturing, preprocessing images, image segmentation, extraction of features and disease classification. The digital image processing method is one of those strong techniques used far earlier than human eyes could see to identify the tough symptoms. There is a great demand for such a solutions in the world of today which would enable to detect disease earlier. We have proposed in this study a system where the web application can detect various type of disease namely cancer, diabetes, heart, liver, kidney diseases, malaria, pneumonia this may be done if the associated disease parameters are known properly. Keywords: Disease Detection, Artificial Intelligence, Healthcare, Machine Learning, Convolutional Neural Networks.