Hospital Automation System

Abstract

Decision Support System’s popularity has gathered strength with business community, with an ever increasing processing power and memory capacity of the computers. Decision Support Systems show data to the knowledge worker from different angles and make interesting patterns in the data.

Artificial Intelligence is now an old field with its own milestones. This project uses two Artificial Intelligence algorithms namely Clustering Analysis and Naïve Bayes Classification. The choice was made after a brief but deep search.

Clustering enables to see the different groups of patients come for examination. This can let the doctors and administrators make better decisions and let them know about their people. Classification, on the other hand, produces different classes of attributes. These rules or classes then let the user make predictions about the rest of the unpredicted tuples in the database.

These algorithms are implemented for the application under discussion using relational databases. SQL Server 2000 is used. The developing language chosen is C# in ASP.NET. Research began by searching different Decision Support Systems that are available online for free trail and by studying different research papers.