Abstract: In Asia, the Philippines has the highest incidence rate of breast cancer. This is one of the most common forms of cancer which can be detected early and when treated properly, be cured. There is also no denying that the Philippines love social media. In fact, the country is the leader in social media usage amounting to 3 h and 57 min of average use. The purpose of this study is to take advantage of Facebooks Messenger platform in creating a chatbot for breast cancer risk assessment and assess its feasibility and usability. In order to choose an accurate model, this study used publicly available data from the Breast Cancer Surveillance Consortium to compare the performance of different classification algorithms. The multilayer perceptron classifier was chosen as the prediction model since it had the best performance and was uploaded to a web application. This web application was then integrated to the Messenger platform in the form of a chat bot. A convenience sample of 28 women tested the application and a usability survey was conducted immediately after. The outcomes are presented and discussions are made to illustrate the significance of the results and how it can spearhead additional or enhance existing public health care services among assigned government agencies.
Bryan Agustine C. Cabansay, Larmie S. Feliscuzo and Elmer A. Maravillas, 2020. Feasibility and Usability of Facebook Chatbots as a Breast Cancer Risk Assessment Tool. Asian Journal of Information Technology, 19: 28-34.