A Web-Based Patient Support System Using Artificial Intelligence to Improve Health Monitoring and Quality of Life

摘要

The burden of lifestyle diseases such as diabetes have reached epidemic proportions since the last decade in India. An estimated 75 million people in India would become diabetic by 2025. However, the existing healthcare infrastructure is inadequate to meet the demands of this exploding population. Provisioning a web-based patient support system that helps in patient centered decision making and physician centered health monitoring would greatly help to reduce the treatment cost and improve the quality of life among patients. Extracting useful knowledge from very large web-based medical database and providing scientific decision-making is very difficult and yet critical. Applying Artificial Intelligence techniques for heterogeneous and large databases can deal with this problem. This paper explores the potential of artificial intelligence techniques particularly for web-based medical applications. In addition, a model for web-based medical diagnosis and prediction is proposed.