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<oembed><version>1.0</version><provider_name>Department of Computer Science</provider_name><provider_url>https://www.cs.jhu.edu</provider_url><title>Computer Science Student Defense: Katie Henry, Johns Hopkins University &#x2013; &#x201C;Translating Machine Learning into Clinical Practice: Lessons from Development to Deployment&#x201D; - Department of Computer Science</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://www.cs.jhu.edu/event/computer-science-student-defense-katie-henry-johns-hopkins-university-translating-machine-learning-into-clinical-practice-lessons-from-development-to-deployment/"&gt;Computer Science Student Defense: Katie Henry, Johns Hopkins University &#x2013; &#x201C;Translating Machine Learning into Clinical Practice: Lessons from Development to Deployment&#x201D;&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.cs.jhu.edu/event/computer-science-student-defense-katie-henry-johns-hopkins-university-translating-machine-learning-into-clinical-practice-lessons-from-development-to-deployment/embed/" width="600" height="338" title="&#x201C;Computer Science Student Defense: Katie Henry, Johns Hopkins University &#x2013; &#x201C;Translating Machine Learning into Clinical Practice: Lessons from Development to Deployment&#x201D;&#x201D; &#x2014; Department of Computer Science" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><description>LocationMalone 228AbstractWith the recent widespread availability of electronic health record data, there are new opportunities to apply data-driven methods to clinical problems. This has led to increasing numbers of publications proposing and validating machine learning (ML) methods for clinical applications like risk prediction and treatment recommendations. However, despite these methods often achieving higher accuracy than&hellip;</description></oembed>
