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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2306.15681/</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/2306.15681/feed.xml" rel="self" type="application/rss+xml" /><item><title>ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram — mentioned by copypaper</title><link>https://news.ycombinator.com/item?id=45447076</link><guid isPermaLink="false">urn:hackerpapers:mention:2306.15681:45447076</guid><pubDate>Thu, 02 Oct 2025 07:15:55 GMT</pubDate><description>&lt;p&gt;&amp;gt; advanced pattern detection... detect new class of complex patterns This sounds great and all, but it&amp;#x27;s wishful thinking. There isn&amp;#x27;t anything in this supporting that it&amp;#x27;s able to find any meaningful patterns beyond existing solutions (i.e. standard rules based detection/machine learning as mentioned above). What they&amp;#x27;ve essentially done is taken a dataset in which each report was &amp;quot;annotated with a report string (generated by cardiologist or automatic interpretation by ECG-device)&amp;quot; [1] and used it with a series of templates (i.e. questions to ask the llm) from the ECG-QA paper [2] to…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2306.15681/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>q-bio.QM</category></item></channel></rss>
