Additional information for Infermedica
Key features of Infermedica
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- Machine learning
- Custom Natural Language Processing (NLP) technology
- Custom translations
- Custom knowledge base
- Patient diagnosis
- Diagnostic questions
- Possible cause suggestions
- Patient triage
- Triage classification algorithm
- Related symptom suggestions
The open developer portal and medical API allow developers to build diagnostic applications or integrate the diagnostic engine with third party systems.
The medical knowledge base can be customized to solve domain-specific challenges using the AI framework.
Infermedica’s medical knowledge database includes probabilistic relationships between conditions, symptoms, and other diagnostic variables, extracted from well-established medical publications and anonymized patient records, with content curated by expert physicians.
The adaptive question selection algorithm and Natural Language Processing technology enable the creation of interactive dialog-based apps to generate patient diagnoses based on the evidence provided.
The inference algorithm provides users with a probability-based ranking of possible conditions, which can be used to check patient symptoms, triage patients, and support clinical decisions.