Combining Viscovery SOMine and Python for outcome prediction in treatment of major depression

[News Viscovery]

Munich (DE) / Melbourne (AU) / Vienna (AT), 6 February 2023

Together with Nicolas Rost and his colleagues from the Max Planck Institute of Psychiatry, we published the article Multimodal predictions of treatment outcome in major depression: A comparison of data-driven predictors with importance ratings by clinicians in the Journal of Affective Disorders.

The aim of this article is to find reliable models to predict treatment outcomes for patients with major depressive disorder. To this end, multiple outcome data were clustered using Viscovery´s SOM-Ward algorithm and with a consensus clustering approach utilizing a Python k-medoids algorithm. The resulting cluster models are in good accordance with each other and define useful outcome classes. In a second step, supervised machine learning methods, namely logistic regression and random forest, were used to predict outcome classes based on the patients´ baseline assessments.

Find the full article at

Viscovery introduces new major release of its visual data-mining suite

[News Viscovery]

Vienna (AT), 13 December 2022

Data mining specialist Viscovery has released the latest Viscovery® software suite designed to help customers uncover high-value insights in complex data sets. Viscovery SOMine 8 provides new algorithms, an enhanced tool palette of analytical features, numerous usability enhancements and increased performance.

Building on Viscovery’s unique technology, new cluster algorithms provide the best approach to diverse clustering applications. A new classification method is introduced, which comes with an additional workflow. Numerous features for advanced analysis are provided, along with an R interface and improvements in user experience when working with SOMine. Download a summary of the new features from

Viscovery SOMine version 8.0 is a full major release. Each modular configuration is available as a perpetual license or as a term-license for a limited period of one year. In addition to single-user licenses, network licenses are also available, which allow operation of the software for concurrent users in a local network.

A major novelty of version 8 is the decision to offer the basic Visual Explorer module for free to give users easy access to Viscovery’s core technology. Visit to download Visual Explorer for free. Licenses for the extension modules can be purchased online at or by contacting

Viscovery Back to work / Back to school offer

[News Viscovery]

Vienna / Austria, 11 August 2022 Back to work / Back to school offer: -25% Vacation time is slowly ending. But maybe we can sweeten your start into a new work year.

Viscovery is pleased to offer a one-time 25% discount on all Viscovery SOMine 7 licenses for orders until August 31st, 2022.

Do you have customer data you are trying to fully utilize and turn to benefits?

Or are you searching for new methods to analyze and publish your research data?

Maybe you are supervising students and want to give them a tool to really explore and learn from their data to write compelling theses?

Do it by taking advantage of Viscovery SOMine.

You want to analyze, explore and visualize your data? Cluster it, calculate test statistics, make statistical analyses? Build, evaluate and implement classification and numerical prediction models? Viscovery SOMine is a modular data mining suite, which can be licensed suitably to your individual needs.

Take the opportunity - order now and save your budget!

Term licenses can easily be acquired in our online shop (

For network licenses and perpetual licenses please contact

Viscovery and Biomax are introducing an analysis pipeline for longitudinal brain morphometry studies

[News Viscovery]

Munich (DE) / Vienna (AT), 7 June 2022 Viscovery and Biomax are introducing an analysis pipeline for longitudinal brain morphometry studies

Together with our colleagues from Biomax Informatics, we published the article Automated High-Definition MRI Processing Routine Robustly Detects Longitudinal Morphometry Changes in Alzheimer’s Disease Patients in Frontiers in Aging Neuroscience.

In this article a profound analysis pipeline for longitudinal MRI studies is proposed. It uses state-of-the-art methods for neuro-imaging, segmentation and statistical assessments. A case study with Alzheimer’s disease patients and a control group of age-related cognitively normal subjects from the ADNI-3 study was conducted to test the pipeline which was fully implemented in Biomax’ neuro-imaging solution NICARA.

Find the full open access article at