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Improving the performance of physiologic hot flash measures with support vector machines

Hot flashes are experienced by 70% of menopausal women. Criteria to classify hot flashes from physiologic signals show variable performance. The primary aim was to compare conventional criteria to Support Vector Machines (SVMs), an advanced machine learning method, to classify hot flashes from stern...

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Bibliografiset tiedot
Päätekijät: Thurston, Rebecca C., Matthews, Karen A., Hernandez, Javier, De la Torre, Fernando
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2009
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC2755219/
https://ncbi.nlm.nih.gov/pubmed/19170952
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1469-8986.2008.00770.x
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