WE
PREDICT
TRENDS.
Data science
Execution of a scientific and analytical solutions using the CRISP-DM methodology.
Machine learning
Intelligent applications that helps to solve complex business and healthcare challenges.
Selected works
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
Research article
The purpose of our study was to predict the results of different PD patients' treatments in order to find an optimal one.
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Eye-Tracking And Machine Learning Significance In Parkinson's Disease Symptoms Prediction
Research article
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.
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DTI Helps to Predict Parkinson's Patient's Symptoms Using Data Mining Techniques
Research article
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.
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