eka-care

eka-care / BODHI

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BODHI: Bharat Ontology for Disease & Healthcare Informatics. Contains data dump in different formats.

19
4
100% credibility
Found Apr 21, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Cypher
AI Summary

BODHI provides downloadable datasets mapping relationships between medical symptoms, conditions, specialties, drugs, and lab tests using established clinical standards for healthcare AI and analysis.

How It Works

1
🔍 Discover BODHI

You come across BODHI, a free collection of trusted medical connections shared by Eka Care to help make health advice smarter.

2
📖 Explore the health maps

You read how it links everyday symptoms like fever or headache to possible conditions and doctor types, plus treatments and tests.

3
Choose your focus
🤒
Symptoms to conditions

Dive into connections between what you feel and possible illnesses or specialists.

💊
Treatments and tests

See how medicines help conditions and which blood tests watch over health.

4
📥 Get the data files

Download simple lists or ready-to-browse files that fit how you like to work with information.

5
✨ Start exploring

Open the files in your everyday tools like spreadsheets to see the web of health relationships light up.

✅ Gain powerful insights

Now you can create better symptom checkers, understand disease patterns, or improve personal health tracking.

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Star Growth

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AI-Generated Review

What is BODHI?

BODHI delivers Bharat's open clinical knowledge graphs for grounding healthcare AI in SNOMED CT facts, covering condition-symptom links with triage levels, demographics, and risk relations, plus concept-drug-lab mappings with LOINC codes. Developers get two production-tested networks—bodhi-s for symptoms to conditions and specialties, bodhi-m for treatments and monitoring—in formats like Neo4j dumps, CSV for Pandas, JSONL for LLM RAG, PyG for GNNs, and RDF for SPARQL. Built in Cypher for Neo4j, it solves the pain of curating verified medical data from scratch.

Why is it gaining traction?

Unlike generic ontologies, BODHI packs India-relevant details like compound symptom variants, gender/age likelihoods, and drug exclusivity, battle-tested in symptom checkers and diagnosis apps at Eka Care. Multiple export formats let you plug into Neo4j queries, PyTorch Geometric models, or LLM pipelines without conversion hassles. The CC BY-NC license and full schema docs make it a quick win for prototyping bharat bodhi-style health tools over bodhi linux github alternatives.

Who should use this?

Healthcare AI engineers building symptom triagers or differential diagnosis engines. ML devs training GNNs on medical graphs or fine-tuning LLMs with RAG on clinical facts. Indian healthtech teams needing bharat nidhi-compliant data for apps targeting bodhi bharati school demographics or siliguri bodhi bharati vocational institute users.

Verdict

Grab it if you need ready SNOMED/LOINC graphs for prototypes—docs are solid, formats versatile—but with 19 stars and 1.0% credibility, treat as early alpha data; verify clinically before prod. Solid foundation for bharat bodhi innovation, just needs community momentum.

(198 words)

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