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Panacea Logo
Inspiration
Lack of centralized healthcare services and models being used in India
What it does
Easy diagnosis, prediction and monitoring of healthcare of all the patients and doctors on the portal
How we built it
A blockchain and machine learning-powered centralized electronic healthcare records management system, with key features such as Post-Recovery Comorbidities Prediction using Knowledge Graphs, Drug Recommendation system with the least side effects using Logistic Regression, Medical Named Entity Recognition using Microsoft Azure Machine Learning Services, and Blockchain Medical Certificate Issuing system hosted on Ethereum Ropsten Network.
Challenges we ran into
Getting Approval for Real Patient Records
Accomplishments that we're proud of
Real patient records such as MIMIC – III and Synthea were used for training Machine Learning Models. The average Spearman’s Rank Correlation of the proposed comorbidity prediction algorithm was between 0.5 and 1, Drug Recommendation model had a precision of 0.93, F1 of 0.96, AUC score of 0.903, and accuracy of 91.33%.
What we learned
Learnt new tools such as Neo4j and Microsoft Azure services
What's next for Panacea
Make the project open-source and let people integrate Panacea as a service
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