A DIFFERENTIAL DIAGNOSIS IN MEDICAL FIELD USING SOA AND K-NN CLASSIFIER TECHNIQUE

Abstract

Recent diagnosis in medical field reveals that the probable causes of failure in patients' treatment are the misdiagnosis factor that leads to inadequate treatment of the patients. This paper focuses on the misdiagnosis attribute that if mined properly may produce accurate results. The data obtained in hospitals is vast and contains an enormous amount of information. Findings for the patient's symptoms is based on the current condition of the patient, but in some cases the patient's medical history also plays a crucial role. The misdiagnosis attribute is taken into consideration in this paper. The system developed predicts the probability of a disease using an algorithm that combines the key features of neural networks, large memory storage and retrieval and k-NN classifier. This diagnosis of a patient’s ailment can be done effectively using such algorithm.