Panacea is an advanced healthcare solution that leverages Blockchain Technology and Artificial Intelligence to address critical challenges in managing Electronic Health Records (EHR) while ensuring data security, transparency, and efficiency.
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Blockchain-Based EHR Management
- Secure and tamper-proof storage of electronic health records.
- Implements Ethereum blockchain for decentralization.
- Blockchain certificate for verifying data integrity.
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Drug Recommendation System
- Predicts safe drug options based on disease using machine learning.
- Achieved high accuracy (91.33%) with logistic regression.
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Disease Comorbidity Prediction
- Uses Spearman’s rank correlation coefficient for predicting comorbidities.
- Data derived from MIMIC-III database integrated with UMLS API.
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Biomedical Named Entity Recognition (NER)
- Extracts information from biomedical articles using Azure Cognitive Services.
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Doctor and Patient Dashboards
- User-friendly interfaces for managing appointments, medical certificates, and treatment plans.
Watch the full project demo on YouTube:
Panacea 1.0
This project is published in IEEE Xplore. You can access the publication here:
Panacea: Blockchain-Based and AI-Powered EHR Management
- Local JSON files act as the initial database.
- Ethereum blockchain deployed on the Ropsten test network.
- Verification through hash comparison ensures data integrity.
- Trained on the UCI Drug Review Dataset.
- Machine learning pipeline includes data preprocessing, feature extraction, and classification.
- Uses a graph database for mapping diseases to comorbidities.
- Predictive models enhance diagnosis accuracy.
- Programming Languages: Python, JavaScript
- Frameworks: Flask, Azure Cognitive Services
- Database: MIMIC-III, Neo4j (for graph database)
- Blockchain: Ethereum (Ropsten test network)
- Other Tools: Azure Logic Apps