Abstract
Cancer has become one of the major public health problems worldwide while the etiology of cancer remains largely unknown. Even with advanced cancer research, prediction of it has not been as practical as those of other chronic diseases such as diabetes. However, behavioral risk factors (BRF) may be used to monitor and predict cancer diseases. Such factors can be used to demonstrate and educate the general public on potential cancer pathways and possible outcomes. For that purpose, we have analyzed public health data and personal health records and discovered some histological features related to behavioral risk factors in the cancer diseases. Such characteristics are then used to assess each individual’s BRFs for classification and prognosis of the diseases. It plays a key role in many health-related realms, including increasing patient awareness on BRFs, developing related medical procedures, the way of handling patients’ records and the treatment of chronic diseases. In this paper, we presented predictive analysis based on some BRFs that might contribute to increase the chances of developing cancer disease.
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Saweros, E., Song, YT. (2020). Behavioral Risk Factors Based Cancer Prediction Model Utilizing Public and Personal Health Records. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2020. Lecture Notes in Computer Science(), vol 12108. Springer, Cham. https://doi.org/10.1007/978-3-030-45385-5_32
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DOI: https://doi.org/10.1007/978-3-030-45385-5_32
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