PRO-DC Diagnostic Classification

What are the relevant factors of a disease?

How high is the risk for a person to be diagnosed with a specific disease (e.g. Cancer, Diabetes)?

What are the hidden relationships and influencing factors?

PRO-DC Diagnostic Classification

Improve the quality and effectiveness of patient treatment

PRO-DC is based on the core module DetectX® that finds relevant information from raw data such as data files, text and images in a multilayered learning process. PRO-DC identifies the relevant factors of a disease in the source data, explores hidden relationships and calculates scores for diagnostic classification in order to choose the optimal treatment.

Key features of PRO-DC Diagnostic Classification

  • Analyzes any input data
  • Handles complex source data sets (e.g. a large number of input factors or a small number of cases)
  • Finds relevant factors and hidden relationships using an autonomous learning process
  • Provides maximum detection quality
  • Ensures secure management and revision of the diagnostic classification process


  • Risk reduction for patients and physicians
  • Improvement of treatment quality
  • Reduction of costs by avoiding unnecessary or invasive treatments