Decision Support System for International Prostate Symptom Score on Case-Based Reasoning

Abstract

Nowadays, medical diagnosis reasoning is a very important application area of computer-based system. There is a wealth of data available within the healthcare systems. There is a lack of effective analysis tools to discover hidden relationships and trends in data. Most hospitals today employ some sort of hospital information systems to manage their healthcare or patient data. Medical diagnosis is a very active field as far as introduction of the above techniques is concerned. Preventing the disease is better than caring it. So, to overcome the BPH(Benign Prostate Hyperplasia) diseases, it needs to predict IPSS score. This system is an implementation of a decision support system of IPSS(International Prostate Symptom Score) diagnosis using Case-based Reasoning. This system diagnosis the IPSS score based Case-based Reasoning. Then it can give the operation or health care advice whether the patient should be operated or given with medicine and habit care.