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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1802.02511/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1802.02511/feed.xml" rel="self" type="application/rss+xml" /><item><title>DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction — mentioned by Steko</title><link>https://news.ycombinator.com/item?id=18081982</link><guid isPermaLink="false">urn:hackerpapers:mention:1802.02511:18081982</guid><pubDate>Thu, 27 Sep 2018 03:35:28 GMT</pubDate><description>&lt;p&gt;Here&amp;#x27;s a more in depth argument of why maybe you shouldn&amp;#x27;t be: https://www.reddit.com/r/apple/comments/9fkb3t/im_an_emergen... &amp;quot;Medical grade&amp;quot; is hard to define, but you might actually be very surprised by how accurate this simple sensor could be in an era of deep learning AI. Earlier this year, there was a paper published at AAAI (https://arxiv.org/pdf/1802.02511.pdf) that found that just using the sparse, noisy data from the AW sensors (non-continuous, noisy heart rate measurements and a handful of HRV estimates every day), they could diagnose diabetes, high cholesterol, high blood…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1802.02511/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction — HN submission</title><link>https://news.ycombinator.com/item?id=16363811</link><guid isPermaLink="false">urn:hackerpapers:submission:1802.02511:16363811</guid><pubDate>Tue, 13 Feb 2018 00:43:39 GMT</pubDate><description>&lt;p&gt;DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1802.02511/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
