
Data Science
Predictive Analytics
Systems Analysis
Systems in which people act and interact are complex. Making the best decisions and obtaining reliable forecasts requires multidisciplinary expertise incorporating data science, statistical methodology and big data technology. High5Data experts have decades of experience in complex systems analysis in a variety of areas, such as medicine, economic analysis, prediction models and visualization. We provide customer-specific solutions of the highest scientific standard for your confidential data.
Our expertise

Psychology
High5Data has years of experience in developing short, efficient, psychometric measurement tools, such as adaptive questionnaires for health or employee surveys. Our models can incorporate psychological concepts in complex systems analysis, for example between burdens, resources and productivity.
Occupational Medicine
Advanced modelling in occupational medicine aimed to analyse the relationships between work and health is one of the key competences of High5Data. We develop indicators and prediction models to quantify determinants of health related work outcomes (e.g. productivity) in an ever aging working population.

Current projects . . .
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Cost-benefit analysis: Adjusting the fluid balance in dialysis patients, Business Case South Korea (Fresenius Medical Care, Bad Homburg, Germany)
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Big Data Predictive Analytics Media Engine based on predicting action and and thinking patterns aimed to optimize adaptive marketing campaigns.
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Relationship between salt concentration in the dialysate and serum as well as morbidity and mortality of dialysis patients. (Fresenius Medical Care, Bad Homburg, Germany), (University of Wuerzburg, Dep. of Nephrology)
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Optimized algorithm for quantifying biological age.
(University of Heidelberg, collaboration)
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A self-learning decision tree for the prediction and optimized treatment of cases of psyche, pain and musculoskeletal disorders. (HealthVision, GetHelpNow)
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Relationship between hormone concentration and heart muscle strength in patients undergoing heart surgery.
(University of Würzburg, Thoracic Surgery, Prof. Ley)
Recent clients



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