Article

Labeling self-tracked menstrual health records with hidden semi-Markov models

2021-01-13

Abstract excerpt

Globally, millions of women track their menstrual cycle and fertility via smartphone-based health apps, generating multivariate time series with frequent missing data. To leverage data from self-tracking tools in epidemiological studies on fertility or the menstrual cycle’s effects on diseases and symptoms, it is critical to have methods for identifying reproductive events, e . g . ovulation, pregnancy losses or b...

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Literature Corpus work: 467ab03a-8be0-5c0f-b570-c46dd2dad3d6
DOI: 10.1101/2021.01.11.21249605

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