DISEASE STATUS PREDICTION AND IDENTIFICATION
Computer Engineering, AISSMS College Of Engineering, India
ABSTRACT
Electronic Health Records (EHRs) are the main source of information for assessment, diagnosis, and treatment of disease in clinical care. An EHR typically contains a patient’s historical health data, collected over several years of patient care. This data includes both physician’s clinical notes written in unstructured text recording their observations, assessments, and plans, as well as structured data such as ordered medications, vital signs measurements, laboratory test results, and procedures conducted. The system takes input and helps the user to predict the disease. The result for the same is provided. The proposed system assists doctor to predict disease correctly and the prediction makes patients and medical insurance providers benefited. The use of EHRs are very limited when the scenario in our country is taken into account. This can also benefit the physician since the patient history will be readily available and in a structured format. Through the visits the results will be stored and a record will be maintained. Thus, our system will enhance the usage of EHR to store data as well as to predict the disease accurately and efficiently.
