Devising a solution to the problems of Cancer awareness in Telangana
Journal:
arXiv
Published Date:
Jun 26, 2025
Abstract
According to the data, the percent of women who underwent screening for
cervical cancer, breast and oral cancer in Telangana in the year 2020 was 3.3
percent, 0.3 percent and 2.3 percent respectively. Although early detection is
the only way to reduce morbidity and mortality, people have very low awareness
about cervical and breast cancer signs and symptoms and screening practices. We
developed an ML classification model to predict if a person is susceptible to
breast or cervical cancer based on demographic factors. We devised a system to
provide suggestions for the nearest hospital or Cancer treatment centres based
on the users location or address. In addition to this, we can integrate the
health card to maintain medical records of all individuals and conduct
awareness drives and campaigns. For ML classification models, we used decision
tree classification and support vector classification algorithms for cervical
cancer susceptibility and breast cancer susceptibility respectively. Thus, by
devising this solution we come one step closer to our goal which is spreading
cancer awareness, thereby, decreasing the cancer mortality and increasing
cancer literacy among the people of Telangana.
