Mathematical model-based ontology for human papillomavirus in India
by R. Geetha; S. Sivasubramanian
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 31, No. 3, 2019

Abstract: Cervical cancer is a life threatening disease contracting women population in great numbers. It is the fifth most common cancer having high impact on human mortality. The second most common cancer prevalent among women worldwide is cervical cancer. Cervical cancer is due to sexually transmitted virus known as human papillomavirus (HPV). In this paper a mathematical model and ontological representation of this model HPVMath ontology has been formulated to expose the viability of HPV which leads to cervical cancer in women. Mathematical models translate data in to trials which gives deep insights about women population: not suspected for HPV, suspected for HPV, with HPV without cervical cancer, with HPV with cervical cancer. These trials from short-term findings can lead to long-term health outcomes. In addition HPVMath ontology representation formalises a common view for HPV prevalence which can in turn assist medical practitioners and generate awareness among common men. This paper explores and defines the circumstances of HPV in to an ethical focus in an age characterisation by the worldwide environmental threats.

Online publication date: Mon, 14-Oct-2019

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