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Using Time-series Breathing Patterns in Machine Learning Models to Classify Respiratory Diseases: An Initial Study

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Abstract

Lung function classifies respiratory diseases. However, obtaining them with spirometry is difficult. We present an easy method that combines breathing patterns and machine learning to classify healthy from respiratory conditions at accuracy of 97.7%.

© 2021 The Author(s)

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Poster Presentation

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