2020
DOI: 10.1016/j.hrtlng.2020.01.013
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Prediction model development of women's daily asthma control using fitness tracker sleep disruption

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Cited by 5 publications
(19 citation statements)
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“…Attack prediction refers to studies that use machine learning to predict an asthma event (typically an attack) usually using mHealth data. [34][35][36][37][38][39][40][41][42] Patient clustering refers to studies which subtype the asthma population using unsupervised learning algorithms. 43,44 See Table 2 for a summary of the papers.…”
Section: Search Resultsmentioning
confidence: 99%
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“…Attack prediction refers to studies that use machine learning to predict an asthma event (typically an attack) usually using mHealth data. [34][35][36][37][38][39][40][41][42] Patient clustering refers to studies which subtype the asthma population using unsupervised learning algorithms. 43,44 See Table 2 for a summary of the papers.…”
Section: Search Resultsmentioning
confidence: 99%
“…Many methods and devices for monitoring different aspects of a person have been studied individually and in combination. Machine learning can be applied to breath monitoring, 37,41 sleep monitoring, 23,[34][35][36]38,39,42 cough and wheeze, 24,26,27,[29][30][31]36 lung function monitoring, 23,25,[33][34][35]38,40 adherence monitoring, 32,35,38,43 and environment monitoring. 39,40,44 However, studies had different outcome measures; hence, it is difficult to conduct a direct comparison between studies.…”
Section: Search Resultsmentioning
confidence: 99%
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