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Leveraging deep-learning on raw spirograms to improve genetic understanding and risk scoring of COPD despite noisy labels

2022-09-15

Abstract excerpt

Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, is highly heritable. While COPD is clinically defined by applying thresholds to summary measures of lung function, a quantitative liability score has more power to identify new genetic signals. Here we train a deep convolutional neural network on noisy self-reported and ICD-based labels to predict COPD case/control status fro...

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Literature Corpus work
096e485b-67c0-51e8-8c9c-833abc161376
DOI
10.1101/2022.09.12.22279863
Open publication

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Leveraging deep-learning on raw spirograms to improve genetic understanding and risk scoring of COPD despite noisy labelsDOI 10.1101/2022.09.12.22279863
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