Article

Using Dynamic Time Warping Self-Organizing Maps to Characterize Diurnal Patterns in Environmental Exposures

2020-10-09

Abstract excerpt

<title>Abstract</title> <p>BackgroundAdvances in measurement technology are producing increasingly time-resolved environmental exposure data. We aim to gain new insights into exposures and their potential health impacts by moving beyond simple summary statistics (e.g., means, maximums) to characterize more detailed features of high-frequency time-series data. MethodsThis study proposes a novel variant of the Self...

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Literature Corpus work: 106f0a3c-7500-560f-a317-69744b648f6c
DOI: 10.21203/rs.3.rs-87487/v1

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