Please use this identifier to cite or link to this item: http://ir.unikl.edu.my/jspui/handle/123456789/23663
metadata.conference.dc.title: A breast Disease Pre-Diagnosis Using Ruled-Based Classification.
metadata.conference.dc.contributor.*: Suriana Ismail
Roslan Ismail
Tengku Elisa Najiha Tengku Sifizul
metadata.conference.dc.subject: Breast disease
Rule-Based
Artificial intelligence
metadata.conference.dc.date.issued: 5-Feb-2020
metadata.conference.dc.description.abstract: The manual detection of breast disease cannot detect occurances of potential high risk problem for a patient at the early stage. Since it it a commonly found disease among women, its critical to overcome the problem as fast as possible. In this paper, the design of the proposed Rule Base System will be presented and the symptoms of the breast cancer disease and possible ways to prevent it will be outlined. the proposed rule based system was produced to hep people to prevent and early detection breast cancer, because it is known that this disease does not have medication or cure yet. Android and web application are two platform used in the designing of the proposed ruled based system. The application to brease cancer pre-diagnosis utilized the features of each highly potential symptom, obtained from patient perceived condition, to discriminate benign from malignant breast lumps. this allows an accurate pre-diagnosis without the urgency need for a surgical biopsy.
metadata.conference.dc.identifier.uri: http://ir.unikl.edu.my/jspui/handle/123456789/23663
metadata.conference.dc.conference.name: The 13th International Conference on Ubiquitous Information Management and Communication - IMCOM (ICUIMC)
metadata.conference.dc.conference.year: 2019
Appears in Collections:Conference Papers



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