Rules extraction based on classification algorithms on early detection of breast cancer disease | |
| Author | Niazai, Abdul Jalil |
| Call Number | AIT RSPR no.IM-19-05 |
| Subject(s) | Data mining--Programming Biopsy Breast Computer algorithms R (Computer program language) |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. IM-19-05 |
| Abstract | Breast cancer is one of the dangerous and common invasive cancers that forms in the cells of human breasts. Normally, it starts to develop in the three main parts of the breast called ducts, lobules, and connective tissue when the growth of cells in these parts becomes out of control. It is more common in women and almost one out of eight women can be diagnosed with breast cancer during their life time. Its early and correctly detection is crucial as it will be associated with more available treatment options and will increase chance of survival. However, the number of specialists and experts that could correctly diagnose breast cancer is limited and also those medical practitioner who are newly employed may have insufficient knowledge about breast cancer diagnosis. Biopsy is the only diagnostic procedure for breast cancer detection that can determine whether a tumour int he breast is cancerous or not cancerous. However, in real world, it is not always the case that a pathologist who is mainly concerned with breast cancer diagnosis through biopsy will always interpret the result in the right way. Research has found that overall 75.3% percents of biopsy diagnoses are correctly interpreted. |
| Year | 2019 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. IM-19-05 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Vatcharaporn Esichaikul; |
| Examination Committee(s) | Phan Minh Dung;Apichon Witayangkurn; |
| Scholarship Donor(s) | Ministry of Higher Education (MoHE), Afghanistan; |
| Degree | Research studies project report (M. Sc.) - Asian Institute of Technology, 2019 |