In times of big digital data sets, we take on the task to distract informations, patterns and relations from your data and make them visible and usable for you.
There is no magic in pedicting the future. Statistical relations, identified in historic data, can be built up into prediction models. Applying them to actual data sets, enables a valid prediction of future developments.
What is the impact of my investment? When is break even reached? What acieves my intervention? As your neutral scientific evaluation partner, we give you the answer to these questions.
The statistical tool set of neuroscience enables you to discover, learn and classify complex spatio-temporal relations within your data and develope associative, constantly adapting solutions.
DCC Risk Analysis is the network coordinator of the German-Canadian cooperation project “AI based Risk Prediction and Treatment Effect Estimation based on health claims data” (AIR_PTE).
AIR_PTE has been funded by the BMWI program “Smart Data Management” and the Canadian IRAP since September 1st, 2020.
The aim of the project is to use AI methods to obtain real world evidence on the effect of treatment options from anonymized billing data of national health insurances and to make it usable for individualized predictions at the point of care.
Please contact us here regarding your specific Ideas, Problems and Questions. We will get back to you immediately. Thank you.
Prof. Dr. Thomas Zahn
Tel: +49 (30) 654 852-98
Fax: +49 (30) 654 852-97
Monday - Friday8:00am - 7:00pm