Researchers have proposed an open, bitfield-based numerical encoding that fits the entire ILAE 2025 seizure classification ...
Electrocardiograms (ECGs) are inexpensive, widely used, and well-suited to deep learning. Interest has grown in ECG foundation models that generalise across diverse downstream tasks. However, current ...
Researchers trained seven machine-learning models on structured ECG reports from more than 11,000 hospitalized children and ...
In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI. Health Check is a Machine Learning ...
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