PRO-DC – Diagnostic Classification
What are the relevant factors of a disease?
What is the risk of a person with a certain disease?
What are the hidden relations and influencing factors?
Improve the quality and effectiveness of patient treatment!
PRO-DC is based on the core module DetectX® that finds the relevant knowledge in raw data such as text, data and images in an autonomous learning process.
PRO-DC identifies the relevant factors of a decease in the source data, explores the hidden relations and calculates scores for the diagnostic classification in order to choose the optimal treatment.
Key features
- analyzes any input data
- handles complex source datasets, e.g. with a large number of input factors or a small number of cases
- finds the relevant factors and hidden relations in an autonomous learning process
- provides maximum detection quality
- ensures the secure management and revision of the diagnostic classification process
Benefit
- Reduction of the risks for the patients and the physicians
- Improvement of the treatment quality
- Reduction of the costs by avoiding unnecessary expensive treatments (i.e. invasive treatments)
