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Artificial Intelligence
AI-based decision support
AI-based decision support for short-term decisions using incident prediction.
AI-driven decision support & Incident Prediction
- Each node is a decision point for a particular patient
- Each node contains the current condition and
attributes of the patient (“digital patient”) - Each arrow corresponds to a decision option
- The arrow length represents the expected QALY
- The sequence of decisions and QALY-duration is like move sequence in chess
- Decision support can help in far-reaching decisions (e.g. treatment) and short-term decisions (e.g. symptom management)
Condition and attributes of the patient (“digital patient”)
- Pathology
- Molecular data
- Medical information incl. comorbidity
- Patient journey incl. history of
- Disease
- Treatments
- Symptoms
- Decisions
- Self-tracking data
Trusted by global brands
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