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Human data mining

Additional information

Kari Kohtamäki
Key Account Manager
+358 20 722 6007

Modern medicine has made tremendous amounts of human data available. However the data we have remains severely under-exploited in characterizing diseases. As the human body is an extremely complex system, patient status can rarely be characterized and understood by a single measure. A holistic view is needed for reliable clinical decision-making. We take a multidisciplinary approach to developing automated and objective analysis tools for clinical practice.

VTT is a globally recognized expert in the field of human data mining. Our mission is to transform heterogeneous, complex health data into information that helps healthcare professionals to make better decisions.

Improved monitoring and treatment for Alzheimer’s disease

VTT has developed a decision support tool for detecting complex diseases at an early stage. The tool can also be used for monitoring disease progression and treatment efficacy. Our patented method calculates an evidence-based estimate of a person’s disease state by comparing his or her biomarker data to previously diagnosed cases. The approach is generic and can make use of heterogeneous and incomplete data. Our technology solution has been implemented and clinically validated in PredictAD, an EU-funded research project for the diagnosis of Alzheimer’s disease.

Traumatic brain injury profiling

Building on the disease profiling approach above, a decision support tool to help clinicians make objective decisions concerning treatment options for patients with traumatic brain injuries (TBI). Profiling this extremely heterogeneous disease requires a combination of multimodal data sources. Our research aims to find the right combinations of biomarkers for more effective treatment of TBI patients.

New tool for diagnosing Parkinson’s disease

A greater proportion of people in the developed world are entering their senior years, leading to increases in neurodegenerative diseases. VTT is part of a consortium involved in the development of a novel diagnostic system for the early diagnosis of the onset of Parkinson’s disease. The intelligent decision support system will include a unique hand held device and communications framework for managing the condition remotely.

Wellbeing assessment techniques for occupational health

Reduced wellbeing is one of the main causes of absenteeism. Detecting a decrease in employees’ wellbeing at an early phase, when intervention is still possible, could potentially alleviate human suffering and lead to considerable cost-savings both for companies and for society.

VTT has developed data mining techniques to infer the probability of future work absenteeism based on answers to employee questionnaires. These tools help companies to understand the well-being of their employees, predict future trends and plan occupational health initiatives.