Advanced prognostication in healthcare
Our goal is to continue to improve prognostication in different medical fields and improve these models by incorporating more detailed information and use advanced statistics models to achieve it
Anaesthesia and Intensive Care Medicine. PhD student at Lund University: Intensive care prognostication.
Triple specialist (Internal medicine, Cardiology and Anaesthesia and Intensive care medicine). PhD in mathematical statistics.
Professor of Mathematical Statistics, Head of division
It has been said before,
how computers would changes the health care system. Along with the majority of physicians and nurses in the front line, we are still waiting for the promised change. Yet, we are optimistic that data science will improve the care taking of our patients. So what is the difference this time? An increasing amount of data on each patients are being generated every day combined with an improved statistic methods and data power have made this possible. Machine learning or the more popular term artificial intelligence, is the term used in general for these statistical methods.
After publishing our research in peer-reviewed journals, we will make some of the these models (beta-versions) available to test on our website. Our hope is, these models can be integrated in the electronic journal system to increase the safety for our patients admitted to the intensive care department.