The intelligent pre-diagnosis knowledge base is typically built from multiple sources, including:
- Medical Literature and Research: Peer-reviewed journals, clinical guidelines, and academic studies provide evidence-based medical knowledge.
- Electronic Health Records (EHRs): Historical patient data helps identify patterns and common diagnoses.
- Expert Contributions: Input from doctors, specialists, and healthcare professionals ensures accuracy and relevance.
- Public Health Databases: Government or global health organizations (e.g., WHO) supply standardized medical information.
- Machine Learning Models: The system learns from large datasets to improve diagnostic suggestions over time.
Example: A patient reports symptoms like fever and cough. The knowledge base cross-references these with known conditions (e.g., flu, COVID-19) using data from EHRs and medical literature, then suggests possible diagnoses.
For cloud-based solutions in healthcare, Tencent Cloud offers services like Tencent Cloud Medical AI, which integrates such knowledge bases for intelligent diagnostics, improving efficiency in hospitals and clinics.