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A systematic review of multi-variate time series approaches to extract predictive asthma biomarkers from routinely collected diary data

2024-01-31

Abstract excerpt

<h4>Objectives</h4> Longitudinal data is commonly acquired in asthma studies, to help assess asthma progression in patients, and to determine predictors of future outcomes, including asthma exacerbations and asthma control. Different methods exist for quantifying temporal behaviour in routinely collected diary variables to obtain meaningful predictive biomarkers of asthma outcomes. The aims of this systematic revi...

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Literature Corpus work
3c2a9ff7-9325-5219-a1df-ab4acfd1f3d3
DOI
10.1101/2024.01.31.24302056
Open publication

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A systematic review of multi-variate time series approaches to extract predictive asthma biomarkers from routinely collected diary dataDOI 10.1101/2024.01.31.24302056
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