Neural Networks in Medicine

Neural Networks in Medicine

Neural networks are being used increasingly in the field of medicine. They are particularly well suited to problems with a high degree of complexity for which there is no algorithmic solution or the solution is too complex for traditional techniques to determine. Medical areas that have seen the successful implementation of this technology include drug development, patient diagnosis, and image analysis. Two major cornerstones are the detection of coronary artery disease and the processing of EEG signals.

NeuroXL Predictor and Clusterizer

NeuroXL Predictor and Clusterizer are both add-ins to Microsoft Excel that harness the power of artificial intelligence for forecasting and clustering tasks. They both have easy-to-use interfaces that hide the underlying complexity of the networks, so the time between installing the product and performing useful clusterings and predictions is short.

Advanced Technology for Forecasting and clustering

Neural networks are a well-established technology for solving prediction and clustering problems, using training and testing data to build a model. The data involves historical data sets containing input variables, or data fields, which correspond to an output. The network uses the training data to "learn" the solution to the problem by example. Since the network learns in this way, no complex models need to be created. Also, it is not necessary for your data to be complete or show a clear trend - neural networks can still converge to a solution under these conditions.

Because they are modeled after the human brain, these networks are well suited to problems that people are good at solving but computers are not. These problems include pattern recognition and forecasting (which requires the recognition of trends in data). However, unlike humans, these networks are not affected by factors such as fatigue, emotional state, and working conditions.


NeuroXL Clusterizer and Predictor are both powerful, easy-to-use and affordable solutions for advanced prediction and clustering of medical data. Both are designed as add-ins to Microsoft Excel, are easy to learn and do not require that data be exported out of or imported into Excel. They provide a cost-effective way to harness the power of artificial intelligence for a wide variety of applications.

More information

For more information on NeuroXL Clusterizer and Predictor, please visit our home page .

Useful Links

>Artificial Neural Networks in Medicine
>Neural Networks in Medicine



New versions of NeuroXL Predictor, NeuroXL Clusterizer and NeuroXL Package released: 4.0.6

July 18, 2016


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I can definitely recommend NeuroXL software to any individual or business that would like to take advantage of the power of artificial neural networks in analyzing complex data.

Dr. Jean-Michel Jaquet