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This organization was marked as archived by an administrator on Apr 25, 2025. It is no longer maintained.
ECG classification using MIT-BIH data, a deep CNN learning implementation of Cardiologist-level arrhythmia detection and classification in ambulatory electrocar…
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-pa…
The symptom ontology was designed around the guiding concept of a symptom being: “A perceived change in function, sensation or appearance reported by a patient …
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
The Pathogen Transmission Ontology describes the tranmission methods of human disease pathogens describing how a pathogen is transmitted from one host, reservoi…