Application of Bioinformatics and Data Mining in Cancer Prediction

摘要

Computer-aided cancer prediction and risk assessment has become a very useful tool and is starting to be taken seriously by the medical community. Advanced bioinformatics and data mining techniques are used extensively to assist in predicting the chances of an individual patient's cancer occurrence as well as the population cancer rates in general. These techniques rely heavily on analyzing and comparing genetic and medical datasets, as well as environment-based and other factors. We have developed an expert system called the cancer predictor calculator (CPC) which predicts two specific cancer risks for women. Specifically, the CPC estimates the risk for the breast and ovarian cancers by examining a number of user-provided genetic and non-genetic factors. The expert system was validated by comparing its predicted results with the patients' prior medical information (and the subsequent outcomes) contained in actual health history databases and other well-known sources (e.g., see [14-17]).