Applying fuzzy ART in medical diagnosis of cancers

Many researchers have used proteomic mass spectrometry for cancer detection and with various types of data preprocessing and classification methods to overcome data complexities. This research focuses on discovering different cancers display their unique proteomic patterns or have similar patterns with others. To meet this goal, this study introduces a complete data preprocessing procedure and applies a Fuzzy ART clustering method to differentiate the patterns among multiple cancer diseases. This approach shows the potential of separating cancer patterns from healthy patterns, as well as among different types of cancers.