A New Bioinformatics System Improves Medical Diagnosis

http://www.sciencedaily.com/releases/2011/06/110628094833.htm

The algorithm, called CliDaPa (Clinical Data Partitioning), uses histological and clinical data and pharmacological treatments to partition patients by means of a tree representation for a particular disease (called clinical tree), used to cluster patients according to similar behaviour. It then uses data mining techniques to analyse each patient partition with the associated genetic information.

CliDaPa is a different method of DNA microarray analysis that aims to generate a model representing different patient behaviours (gathered from clinical data). These behaviours will then be examined separately and specifically by means of data mining. New learning methods were also proposed in the course of the research.