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Horn (NL) / Vienna (AT), 27 June 2019 Next step in big health data exploration with Viscovery SOMine

Together with Daisy Janssen and her colleagues from our long term customer CIRO+, we published the article Clustering of 27,525,663 death records from the United States Based on health conditions associated with death: an example of big health data exploration in the Journal of Clinical Medicine.

Following a population-based approach to palliative care, this article analyzes more than 27 million US death certificates from 2006 to 2016 with respect to common comorbidities, socio-demographic background and circumstances of death. Viscovery SOMine's Big Data capabilities are used to cluster the death records in the 346-dimensional space of health conditions, to identify population-based patterns, and to derive implications for palliative care.

Find the full open access article at www.mdpi.com

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Horn (NL) / Vienna (AT), 14 April 2019 Together with Filip Triest and his colleagues from our long term customer CIRO+, we published the article Disease-specific comorbidity clusters in COPD and accelerated aging in the Journal of Clinical Medicine.

This article analyzes the connection between disease-specific comorbidity clusters in COPD patients and accelerated aging. Viscovery SOMine is used to cluster COPD patients and a comparable control group to evaluate the decrease in telomere length in COPD-specific clusters.

Find the full open access article at www.mdpi.com.

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Horn (NL) / Vienna (AT), 27 December 2018 Together with Ingrid Augustin and her colleagues from our long term customer CIRO+, we published the article Comprehensive lung function assessment does not allow to infer response to pulmonary rehabilitation in patients with COPD in the Journal of Clinical Medicine.

This article examines whether the extent of improvement in lung function, exercise performance, daily activities, mood, and disease-specific health status of COPD patients undergoing pulmonary rehabilitation can be predicted from the lung function profile prior to rehabilitation. The lung function data is clustered with Viscovery SOMine to obtain and statistically analyze groups of patients with similar profiles.

Find the full open access article at www.mdpi.com.

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Vienna / Austria, 23 October 2018 The Viscovery team has compiled a selection of scientific articles covering diverse applications in explorative data mining, clustering, and predictive analytics. With this collection, data analysts can leverage a wealth of experience that Viscovery users have gained through the use of self-organizing maps in a variety of application areas.

Out of several hundred publications, a representative selection of more than 180 articles has been listed on the Viscovery website. Each citation is supplemented by a brief description of the objective and a download link to the corresponding article.

Analytical application areas range from drug design, healthcare and nutrition to social development, customer analytics, crime and security, banking and economics to sensor data analysis and industrial engineering. In aerodynamic design engineering alone, you can read how Viscovery was used to optimize the design parameters of airliners, helicopters and drones, supersonic aircrafts, rockets and race cars.

The full list of publications is available at viscovery.net/scientific-articles.

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