Abstract:
The objective of this project is to develop an application that will diagnose patients
according to their symptoms and suggest them with relevant medicines and remedies.
This report explores technique used for recognizing the symptoms of patient and
diagnosing the disease. Different stages involving asking ofsymptoms from the patient
and then the AI algorithm running to diagnose the relevant will be studied and
discussed.
This project uses the Maximum entropy algorithm. It is a probabilistic classifier, based
on the principle ofmaximum entropy and from all the models that fit our training data,
it selects the one which has the largest entropy.
The system first proceeds with questioning the user. The user provided with their
symptoms. The system then matches the symptoms with the disease in the database
and diagnose accordingly. It then provides the user with relevant medicines and
remedies. Recommendations for future development and conclusions are also included
in the report.
