An Expert Health Care System Providing Recommendations.

Today’s health information management system collects a huge quantity of healthcare data and information, that hold complex information related to patients and their medical conditions. In data mining, there has been an increase in the use of techniques on medical to determine usage patterns that are used in the analysis. Nowadays human disease is the main reason for human death, one person may suffer from more than one disease. This work is to predict disease by adding symptoms related to patients’ condition and behavior. In this developed system we enter symptoms, as per patients’ condition, the system analyzes symptoms and predicts diseases using data mining algorithm. The number of symptoms can be added in the search engine as per symptoms disease can be changed. This proposed work is developed to analyze the symptoms given by the user or patient for checking health condition, knowing their health conditions it predicts the disease without the need of a doctor, this work is implemented to save the time of patients’. This proposed system will not only predict the diseases also recommend the appropriate doctors from the doctor list based on a particular disease. In the existing system heart, kidney disease is predicted, whether the patient’s heart, kidney are healthy, or not using the K-Nearest Neighbors algorithm. This system is developed for predicting the disease based on the patient’s symptoms by using a data mining algorithm.