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Pattern recognition (also known as Machine Learning or Statistical Learning) is a scientific discipline involving design and development of statistical algorithms in order to understand behaviors based on empirical data. The general aim of these statistical techniques is to automatically 'learn' to recognize complex patterns and make intelligent decisions based on data. Nowadays, pattern recognition is used in several fields such as bioinformatics, speech recognition, finance, medical diagnosis and artificial vision.

An example of pattern recognition is classification. It attempts to assign an unknown input data to one of the given classes, e.g. determine whether a given unknown DNA sequence is more similar to another already known one, or wether a brain lesion in an MRI will continue to grow or not. Other related topics are regression and data dimensionality reduction.


Yes guys, this is interdisciplinary and we focus on medicine! You will survive!