A K-means and fuzzy logic-based system for clinical diagnosis (staging) of cervical cancer
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Inderscience
Abstract
In cases of the burden arising from cancer world, cervical cancer is
the most common type of gynaecological cancer, accounting 8% (527,624
cases in 2012) of all female malignancies, second only to breast and colorectal
cancer. Women with cervical cancer constitute patient populations that are in
need of ongoing, person-centred supportive care. The unavailability of
technologies that can determine the stage of cervical cancer constitutes a
problem in the actual diagnosis. Previously physician predict the cancer stage
on the basis of their experience in the field, however this is prone to error
because man’s judgement are sometimes clouded by emotions. This research
seeks to address this problem with the design of a k-means and fuzzy logic
based system for clinical diagnosis (staging) of cervical cancer. The K-means
algorithm was used for the grouping of data and fuzzy logic for the rule based
prognosis of cervical cancer
Description
Keywords
cervical cancer ;, prognosis., fuzzy logic, K-means, diagnosis, staging, algorithm, rule-based
Citation
Abikoye, O.C. , Olajide, E.O. , Babatunde, A.N. & Akintola, A.G. (2017): A K-means and fuzzy logic-based system for clinical diagnosis (staging) of cervical cancer. Int. J. Telemedicine and Clinical Practices. 2(2); 168-196