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dc.contributor.author | Waqas Ahmad, 01-235162-049 | |
dc.contributor.author | Usama Zafar, 01-235162-076 | |
dc.date.accessioned | 2021-01-15T06:39:03Z | |
dc.date.available | 2021-01-15T06:39:03Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://hdl.handle.net/123456789/10780 | |
dc.description | Supervised by Ms. Maryam Khalid Multani | en_US |
dc.description.abstract | OHAS is a platform where common people and doctors can interact with each other in a friendly environment. OHAS provides very helpful features to its users like disease prediction and doctor’s platform for the users to avail. This is quite the need of the current era as new and deadly diseases are being discovered and spread like a rapid pace. So, it is necessary to have a system like OHAS to facilitates its users in detecting disease through OHAS and avoid going to doctors in minor cases for examination purpose. OHAS is developed using Rule Based Expert System where different symptom combinations are incorporated for its disease prediction module also, the doctor’s module is developed using different languages of Web. Predicting the correct disease is quite a challenge in recent years and current era too. The core point of our system is to help doctors in diagnosing the patient by investigating his accessible information and significant data. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Sciences BUIC | en_US |
dc.relation.ispartofseries | BS (IT);MFN-P 9040 | |
dc.subject | Online System | en_US |
dc.title | Online health assistance system | en_US |
dc.type | Project Reports | en_US |