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Statistical and AI-based Data Analysis
Configurable and Expandable
AI-based data analysis

Smart Tools for Deep Insights

Recognize patterns in data and find correlations between cata.
Detect anomalies and identify causes and effects.
Which Data Analyses Do You get?
Data analysis Packet 1

Packet 1:  "Insights"

The population of patient data is clearly and comprehensibly visualized with our tool at the touch of a button.
Data analysis Packet 1
Derive significant results immediately without having to analyze complex data and statistical key figures.
Various options and filters support users comprehensively generating statements about any subsets of data.
Details:  Average values, distributions and variances, patterns and correlations between parameters are collected automatically and visualized in an understandable way.
Data analysis Packet 2

Packet 2:  "Check-up"

Data anomalies or simply statistical outliers in given data are automatically detected and intuitively visualized by our tool.
regression analysis
A particular advantage is that patient data significantly differing from empirical values or patients requiring particular attention in medical evaluation can be determined.
Details:  Data inconsistencies as well as rare characteristics of collected parameters are detected with statistical analyses and marked as Statistical conspicuities according to their probability of occurrence. It is also possible to make statements as to parameters being distributed unevenly or whether an increased number of statistic fluctuations can be expected.
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Packet 3:  "Effects"

Calculate statistical indications as to the success rates of various therapies. Different therapy variants can be compared in the most simple way and they can also be correlated with particular characteristics of patients.
regression analyses
Help patients using these methods which facilitate the optimal treatment of patients and point the most probable way to a speedy recovery.
Details:  Ranging from simple Kaplan-Meier analyses up to complex survival analyses with serveral influence factors, these methods determine statistical indications for successful therapies as well as patient key figures effecting therapy and recovery.
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