Deep Learning Model Using Continuous Skin Temperature Data Predicts Labor Onset
Chinmai Basavaraj,
Azure D. Grant,
Shravan G. Aras
et al.
Abstract:Background. Changes in body temperature anticipate labor onset in numerous mammals, yet this concept has not been explored in humans. Methods. We evaluated patterns in continuous skin temperature data in 91 pregnant women using a wearable smart ring. Additionally, we collected daily steroid hormone samples leading up to labor in a subset of 28 pregnancies and analyzed relationships among hormones and body temperature trajectory. Finally, we developed a novel autoencoder long-short-term-memory (AE LSTM) deep le… Show more
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