dc.contributor.author |
Ali, Md. Abed |
|
dc.date.accessioned |
2018-08-14T06:44:59Z |
|
dc.date.accessioned |
2019-06-08T09:40:11Z |
|
dc.date.available |
2018-08-14T06:44:59Z |
|
dc.date.available |
2019-06-08T09:40:11Z |
|
dc.date.issued |
2018-04-07 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.11948/2867 |
|
dc.description.abstract |
It might have happened so many times that you or someone yours need doctors help
immediately, but they are not available due to some reason. The Health Prediction
system is an end user support and online consultation project. Here we propose a
system that allows users to get instant guidance on their health issues through an
intelligent health care system online. The system is fed with various symptoms and
the disease/illness associated with those systems. The system allows user to share
their symptoms and issues. It then processes user’s symptoms to check for various
illnesses that could be associated with it. Here we use some intelligent data mining
techniques to guess the most accurate illness that could be associated with patient’s
symptoms. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Daffodil International University |
en_US |
dc.subject |
Health consultant |
en_US |
dc.subject |
Data mining |
en_US |
dc.subject |
Health consultant using data mining |
en_US |
dc.subject |
Data mining in health consultant |
en_US |
dc.title |
Health consultant using data mining |
en_US |
dc.type |
Thesis |
en_US |