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Evaluation of an Activity Tracker to Detect Seizures Using Machine Learning.

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Title: Evaluation of an Activity Tracker to Detect Seizures Using Machine Learning.
Authors: Mittlesteadt, Jackson1 (AUTHOR), Bambach, Sven2 (AUTHOR), Dawes, Alex3 (AUTHOR), Wentzel, Evelynne2 (AUTHOR), Debs, Andrea2 (AUTHOR), Sezgin, Emre2 (AUTHOR), Digby, Dan2 (AUTHOR), Huang, Yungui2 (AUTHOR), Ganger, Andrea4 (AUTHOR), Bhatnagar, Shivani4 (AUTHOR), Ehrenberg, Lori4 (AUTHOR), Nunley, Sunjay5 (AUTHOR), Glynn, Peter4 (AUTHOR), Lin, Simon2 (AUTHOR), Rust, Steve2 (AUTHOR), Patel, Anup D.4 (AUTHOR) Anup.patel@nationwidechildrens.org
Source: Journal of Child Neurology. Nov2020, Vol. 35 Issue 13, p873-878. 6p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Child+Neurology%22">Journal of Child Neurology</searchLink>. Nov2020, Vol. 35 Issue 13, p873-878. 6p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=146365348
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        Value: 10.1177/0883073820937515
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        Text: English
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        PageCount: 6
        StartPage: 873
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      – TitleFull: Evaluation of an Activity Tracker to Detect Seizures Using Machine Learning.
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              Text: Nov2020
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