Intelligent Bioinformatics System Architecture for Water Borne Diseases Diagnosis and Monitoring

Artificial intelligence (AI), is emerged as an edge to advancement which shows potential in the field of quality healthcare. The fields of AI and biological research are integrated for extraction and application of the information stored in live organisms to refine biomedical research. AI is now being used in various fields in health and medicine result into customized healthcare solutions and drug discovery. Water borne diseases seems to be crucial health hazardous as putting burden on population. Drinking water which is unfit to consume results into diseases like malaria, typhoid, cholera, dysentery and many more. Prevention of the water borne diseases before it spreads and become too severe to handle is a field requiring utmost investigation. Intelligent and diligent pathogen identification is therefore critical for the treatment and prevention of waterborne diseases. AI seems to be an emerging field that integrate with many recent advancements and revolutionize the field of disease prevention. This paper summarizes the role of computer vision and AI in water borne disease prevention. Various issues and challenges in AI based disease prevention systems are also discussed.