Psychoses typically commence in the most productive and critical period of life : late adolescence and early adulthood.
In around 75-90 percent of the persons who develop the full-blown illness,
there are early symptoms like lacking concentration, mood swings, exhaustion and reduced performance.
Vice versa, only 20-30 percent of the patients who show these subtle symptoms go on to develop a frank psychotic disorder.
However, independent of the development of the illness, patients frequently suffer from functional disabilities that persist over time
(e.g. difficulties in maintaining relationships or in functioning at the workplace or in school).
This is where the European research project PRONIA sets in.
The aim of the researchers from five European countries and Australia is to develop innovative prognostic tools.
These tools harness the computational power of machine learning algorithms to detect predictive patterns in diverse data,
such as patient-reported information, brain imaging or genetic data.
Across 10 European centres and one in Australia,
the PRONIA project has recruited two-thousand study participants and followed them over time.
Based on this database, the PRONIA consortium aims at improving the prognostic certainty for identifying future disease-related outcomes with high accuracy and generalizability.
To facilitate the external and experimental clinical validation of its predictive tools, the PRONIA consortium has decided to make its prognostic tools available to the field on this page.
Thus, we present a growing library of predictive models that accompany the published articles of our project.
The European Union has awarded PRONIA with 6 Million Euro within the 7th Framework Programme.
The coordinator of the PRONIA project is Prof.
Dr. Nikolaos Koutsouleris from the Psychiatric Clinic of the Ludwig-Maximilians-University in Munich.
The study started on October 1st 2013 and finishes in March 2019.
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