| dc.contributor.author | Zakir, Fatima Reg # 51825 | |
| dc.contributor.author | Amjad, Tehreem Reg # 51883 | |
| dc.contributor.author | Zubair, Laiba Reg # 51824 | |
| dc.date.accessioned | 2023-12-07T05:53:37Z | |
| dc.date.available | 2023-12-07T05:53:37Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/16718 | |
| dc.description | Supervised by Dr. Ghulam Muhammad | en_US |
| dc.description.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. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN 317 | |
| dc.title | ARTIFICIAL INTELLIGENT ALGORITHM BASED MYOGCT0R ASSESSMENT | en_US |
| dc.type | Project Reports | en_US |