Abstract

Mostly in large cities such as Mumbai, Bangalore, Delhi, most patients prefer to go to large hospitals to visit the doctors. As a result there is a congestion in the large hospitals. Consequently most doctors usually only had roughly 5 minutes on average to make their diagnosis on the patients. Doctor may not think about all diseases at once by listening to patient’s symptoms. This problem grew even worse for radiologists also. In the large hospitals there are usually more than thousand examinations including images being performed (e.g., CT, MR, DR/CR) per day. Radiologist has to read more than 50 studies daily. They have only around 10 to 15 minutes to read images and to write a report for each study (e.g., CT or MR examination). Basically there is no time to review the patient’s history if such patients had multiple historical studies. So there is a big need to store all the valuable data and the symptoms on a web platform portal to make diagnosis efficient and accurate. An automated medical health diagnosis system is a web platform portal to facilitate doctors to enter patients’ symptoms and get the list of probable diseases, which enables doctors to start diagnosis quickly. In this system security is maintained as only the registered doctors can enter or update the system accordingly. The system enables the registered doctors to record the new diseases and symptoms if they find any. The project reduces the diagnosis time as well. Data handling technique is dealing with large amount of data with a great accuracy and reliability. This system has a database containing data about all diseases and their corresponding symptoms. When the patient details are entered, the system indicates the possible diseases the patient may be suffering from. The performance is measured by taking input from the registered doctor and from a patient who enter his symptoms and then analyzed. An Automated Medical Health Diagnosis System compares all entries in the database and update it if needed and finally gives the result in the form of diagnosed disease. Moreover it act as disease and symptoms repository.

Authors and Affiliations