Open AccessDigital Wellness: A Smart Health Care System Using Machine Learning
Author(s) -
Justin Joseph,
Sunil Kumar Aithal S,
Divya Mohan
Publication year - 2021
Publication title -
international journal of advances in computer science and technology
Language(s) - English
Resource type - Journals
ISSN - 2320-2602
DOI - 10.30534/ijacst/2021/011062021
Subject(s) - disease , computer science , task (project management) , machine learning , convolutional neural network , field (mathematics) , artificial intelligence , health care , artificial neural network , predictive modelling , data science , data mining , medicine , engineering , mathematics , systems engineering , pathology , pure mathematics , economics , economic growth
Nowadays,people face various diseases due to environmental condition and their living habits. So the prediction of disease at an earlier stage becomes an important task. But the accurate prediction based on symptoms becomes too difficult for the doctor. The correctprediction of disease is the most challenging task. To overcome this problem data mining plays an important role to predict the disease. Medical science has a large amount of data growth per year. Due to the increasing amount of data growth in the medicaland healthcare field the accurate analysis of medical data has been benefits from early patient care. With the help of disease data, data mining finds hidden pattern information in a huge amount of medical data. We proposed general disease prediction based on the symptoms of the patient. For the disease prediction, we use Convolutional neural network (CNN) machine learning algorithm for the accurate prediction of disease. For disease prediction required disease symptoms dataset. After general disease prediction, this system able to gives the risk associated with a general disease which is a lower risk of general disease or highe