Development of knowledge-based expert screening system for cervical cancer
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Date
2016-09-01
Authors
Lim ; Jin Chow
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Abstract
Cervical cancer is the second common cancer among women. Cancer can be cured at early stage. Hence screening and diagnosis plays an important role for early detection of cancer. The screening task of cervical cancer patient needs knowledge and experience of a gynecologist. Typically there are several problems exist for pap smear screening which is the shortage of expertise such as pathologists and gynecologists, and it involves plenty of manual work for the cervical cancer screening, hence the work process becomes time consuming and the results cannot be obtained in a short period. Sometimes human has difficulty and uncertainty in making decision for the screening results. Researchers have already developed an expert system in screening cervical cancer by using image analyzer. However, image analysis is time consuming time where the image specimen is needed before further image analysis can be done. In order to address the above mentioned problems, a knowledge-based expert system for pre-cervical cancer screening is introduced in this study which only consists the usage of questionnaire and without the involvement of image analysis in this system. Besides that, the classification result can be obtained spontaneously from this system. From the results of this study, the system shows high capability of segregating the abnormal cervical screening cases and normal screening cases, with sensitivity and specificity of 95% and 85% respectively.