Execution of a scientific and analytical solutions using the CRISP-DM methodology.
Intelligent applications that helps to solve complex business and healthcare challenges.
We place a high value on contributions to science. Here you can find scientific papers co-authored by members of our team.
Comparison of Different Data Mining Methods to Determine Disease Progression in Dissimilar Groups of Parkinson’s Patients
The purpose of our study was to predict the results of different PD patients’ treatments in order to find an optimal one.Read more
Our goal was to predict patients’ UPDRS development based on the various groups of patients in the different stages of the disease. We used standard neurological and neuropsychological tests, aligned with eye movements on a dedicated computer system.Read more
The purpose of the study was to predict Parkinson’s patient’s symptoms defined by Unified Parkinson’s Disease Rating Scale (UPDRS) that may occur after the DBS treatment.Read more