"Cardiology Research and Practice" Publishes Article on QCT.

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Como, 24-th September, 2021. The “Cardiology Research and Practice" medical journal publishes paper “Quantitative Complexity Theory Used in the Prediction of Head-Up Tilt Testing Outcome”. The research reported in the paper has been performed in collaboration with the Military Institute of Medicine in Warsaw, Poland.

The paper concludes that “Complexity has been shown to be a sensitive marker of cardiovascular haemodynamic response to orthostatic stress and proved to be superior over HR and BP in predicting HUTT outcomes.” and shows how QCT – Quantitative Complexity Theory – can predict the response to a vasovagal syncope. In practice, the QCT can predict, even two minutes ahead of time, when a patient will faint, showing its superiority over conventional approaches.

“The understanding of physics and physical processes and transformations makes it possible to identify precursors of anomalies, not just anomalies. The QCT, in practice, takes anomaly detection to a new level. Artificial Intelligence and Machine Learning have been around for a few decades. While ML works well in certain applications, we felt that it was time to develop a radically innovative and unconventional data analysis technology, redefining the concept of anomaly and anomaly detection. In highly complex situations with hundreds of thousands of variables, Machine Learning is not feasible as it requires numerous examples of anomalies to learn from. Often you don’t have the time. Our QCT doesn’t require training or prior knowledge, only streaming raw data.” said Dr. J. Marczyk, the founder and President of Ontonix.

The data for the research has been collected as a part of the project (no. 126/IWSZ/2007) funded by the Polish Ministry of National Defense.

Download paper.

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Dr. Jacek Marczyk

Visionary, ex rocket scientist, businessman and writer with over 35 years of experience in QUANTITATIVE large-scale Uncertainty and Complexity Management in diverse fields (manufacturing, finance, economics).

Author of ten books on simulation, uncertainty and complexity management, rating.

Developed in mid 90s the theory of eigenvalue orbits, a generalization of the concept of eigenvalue.

In 2000-2005 has developed the first Quantitative Complexity Theory (QCT), including a comprehensive measure of complexity.

Founded Ontonix Complexity Management in 2005 in the USA and launched in 2006 the first commercial system for MEASURING and managing complexity: OntoSpace.

www.ontonix.com

In 2009 developed real-time technology to measure the complexity and stability of patients during operation or permanence in Intensive Care Units.

http://www.ontomed.net

Developed a new theory of risk and rating published in 2009 in a book entitled "A New Theory of Risk and Rating".

Over last decade develops quantitative complexity management (QCM) technology and solutions for applications in economics, finance, Risk Rating and Management as well as in Asset Management and medicine. In the past five years works towards the democratization of ratings.