Classification of Medical Data with HTM Cortical Learning Algorithms
Thomas Muders
Broschiertes Buch

Classification of Medical Data with HTM Cortical Learning Algorithms

Examination of the proposed HTM algorithm with real medical data

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Medical data analysis is an important task and the lives of patients often depend on it. However, the analysis itself is often repetitive and time-consuming. Algorithms for this tasks need to have a very high success rate and need to be understandable to work with their parameters. This work will examine a general algorithm for various data types: The Hierarchical Temporal Memory learning algorithm (HTM). It is proposed to be very flexible and to work on any kind of data. The HTM algorithm was implemented and tested with two datasets: Medical images on the one hand and ECG recordings on the ot...