<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ICON-2024 on arun.zechariah</title><link>https://zech.in/tags/icon-2024/</link><description>Recent content in ICON-2024 on arun.zechariah</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://zech.in/tags/icon-2024/index.xml" rel="self" type="application/rss+xml"/><item><title>NLP workshop at ICON 2024, Chennai</title><link>https://zech.in/posts/nlp-workshop-at-icon-2024-chennai/</link><pubDate>Mon, 25 Nov 2024 00:00:00 +0000</pubDate><guid>https://zech.in/posts/nlp-workshop-at-icon-2024-chennai/</guid><description>&lt;p&gt;Via &lt;a href="https://www.linkedin.com/in/joymammen/" class="external-link" target="_blank" rel="noopener"&gt;Joy Mammen&lt;/a&gt; (Christian Medical College Vellore):&lt;/p&gt;&#10;&lt;blockquote class="posterous_short_quote"&gt;&#10; &lt;p&gt;&#10; Recently, I read posts portraying technology coming between patients and clinicians. Especially with increasing computerization in hospitals as a mode to improve efficiency and facilitate data collection, clinicians feel pressured to divide their time and attention between patients and the keyboard (confession — I am still a 3 finger typist). The science of Natural Language Processing (NLP) has many opportunities in the healthcare domain. With developments in technology and serious investment (some of it publicly funded), NLP has many opportunities to assist in health and healthcare — data captured from conversations, conversion of narrative text to structured data, and translation to Indian languages. CMC Vellore is partnering with IIIT-Hyderabad to organize this workshop at ICON 2024, at Chennai. We welcome participation from academia, industry and healthcare domains.&#10; &lt;/p&gt;</description></item></channel></rss>