Tole combines ultrasound and AI to improve motor neuron disease diagnosis, reducing reliance on invasive procedures.
An end-to-end Machine Learning project that predicts the likelihood of heart disease using patient health parameters. The project covers the complete machine learning workflow including data ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
Abstract: In this paper, we develop a general framework of a granular representation of ECG signals. The crux of the approach lies in the development and ongoing processing realized in the setting of ...
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Classification of “Athlete's Heart” using machine learning of conventional 12-lead ECG: male elite 3,000-m runner data in the CHIEF study Chia-Hao Fan Chin-Fen Chen Wei-Chun Huang Younghoon Kwon ...
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