<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Interpretable machine learning | Seyed Morteza Najibi Academic Homepage</title><link>https://www.smnajibi.com/tag/interpretable-machine-learning/</link><atom:link href="https://www.smnajibi.com/tag/interpretable-machine-learning/index.xml" rel="self" type="application/rss+xml"/><description>Interpretable machine learning</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© 2026 [smnajibi.com](https://smnajibi.com)</copyright><lastBuildDate>Tue, 01 Sep 2026 00:00:00 +0000</lastBuildDate><image><url>https://www.smnajibi.com/media/sharing.png</url><title>Interpretable machine learning</title><link>https://www.smnajibi.com/tag/interpretable-machine-learning/</link></image><item><title>Elevated pro-BNP and low-grade inflammation are associated with low bone mineral density in systemic sclerosis, a case control study</title><link>https://www.smnajibi.com/publication/lillpers-2026/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><guid>https://www.smnajibi.com/publication/lillpers-2026/</guid><description>&lt;h3 id="contribution">Contribution&lt;/h3>
&lt;p>My contribution included the analysis plan, data analysis and preparation of the figures, as reported in the article&amp;rsquo;s author contributions.&lt;/p>
&lt;h3 id="selected-figure">Selected figure&lt;/h3>
&lt;p>Figure 2 illustrates how measured characteristics contribute to the predicted hip T-score for four individuals. It connects the study to my interest in patient-level prediction while making the model&amp;rsquo;s reasoning visible. These research predictions require independent validation before clinical use.&lt;/p>
&lt;p>&lt;a href="https://doi.org/10.1186/s13075-026-03888-6" target="_blank" rel="noopener">Read the published article&lt;/a>.&lt;/p></description></item></channel></rss>