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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLMD: A Large Language Model for Interpreting Longitudinal Medical Records · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2410.12860/</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/2410.12860/feed.xml" rel="self" type="application/rss+xml" /><item><title>LLMD: A Large Language Model for Interpreting Longitudinal Medical Records — mentioned by Lnerenbergdev</title><link>https://news.ycombinator.com/item?id=45119469</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.12860:45119469</guid><pubDate>Wed, 03 Sep 2025 19:17:07 GMT</pubDate><description>&lt;p&gt;Location: Denver, USA Remote: Yes please Willing to relocate: Under right conditions Technologies: Python, PyTorch, Flyte, Weights &amp;amp; Biases, Hugging Face, OpenAI API, Azure, GCP (GKE, BigQuery), AWS, Baseten, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, SQL (Postgres, MySQL, BigQuery), GraphQL, ElasticSearch, Retool, FastAPI, Flask, Node.js, JavaScript/TypeScript, React, HTML/CSS, Git, C++, Large Language Models (LLMs), instruction fine-tuning, RAG, NLP, AI agents, human-in-the-loop systems, document processing, model evaluation, distributed systems, model CI/CD, MCP Résumé/CV…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.12860/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>LLMD: A Large Language Model for Interpreting Longitudinal Medical Records — HN submission</title><link>https://news.ycombinator.com/item?id=41878959</link><guid isPermaLink="false">urn:hackerpapers:submission:2410.12860:41878959</guid><pubDate>Fri, 18 Oct 2024 12:51:22 GMT</pubDate><description>&lt;p&gt;LLMD: A Large Language Model for Interpreting Longitudinal Medical Records&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;48 points; 19 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2410.12860/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
