BODHI-M

BODHI-M is a clinician curator knowledge graph connecting SNOMED-CT concepts-drugs-labinvestigations.

About Dataset

BODHI-M — Concept-Drug-Lab Investigation Knowledge Graph. Part of BODHI (Bharat Ontology for Disease & Healthcare Informatics) — open clinical knowledge graphs for grounding healthcare AI in verified medical facts. BODHI-M is built to map the interventions and investigations. It organizes SNOMED concepts (disorders, symptoms, allergies, procedures) into a rigorous three-level hierarchy: System, Group, and Granular. More on BODHI: https://info.eka.care/services/bodhi-bharat-ontology-for-disease-healthcare-informatics Github: https://github.com/eka-care/BODHI?tab=readme-ov-file

Purpose of Dataset

Capturing A Patient's Complete Health Picture Is Highly Valuable For Insurance Underwriters, Emr Platforms, And Preventive Care. Because Real-world Health Data Is Often Messy And Fragmented, Knowledge Graphs Act As A Unifying Framework. Through Reverse Inference, Implicit Data Becomes Explicit—for Example, Automatically Linking A Standalone Metformin Prescription To Type 2 Diabetes, Which Then Maps To Related Co-morbidities. Every Data Fragment, From Family History To Lifestyle Habits, Contributes To A Richer, Fully Connected Health Profile.