<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Healthcare | mmrahneshin</title><link>https://mmrahneshin.github.io/tags/healthcare/</link><atom:link href="https://mmrahneshin.github.io/tags/healthcare/index.xml" rel="self" type="application/rss+xml"/><description>Healthcare</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Dec 2022 00:00:00 +0000</lastBuildDate><image><url>https://mmrahneshin.github.io/media/icon_hu13105007374921565109.png</url><title>Healthcare</title><link>https://mmrahneshin.github.io/tags/healthcare/</link></image><item><title>Seizure Signal Classification</title><link>https://mmrahneshin.github.io/project/seizure-signal-classification/</link><pubDate>Thu, 01 Dec 2022 00:00:00 +0000</pubDate><guid>https://mmrahneshin.github.io/project/seizure-signal-classification/</guid><description>&lt;p>Developed a seizure detection system using EEG data and machine learning models including SVM, Random Forest, and CNNs.&lt;/p>
&lt;p>Performed preprocessing, feature engineering, and K-fold validation to ensure accuracy and generalizability. Focused on biomedical signal analysis in practical ML settings.&lt;/p>
&lt;p>You can view the project on GitHub: &lt;mark>&lt;a href="https://github.com/mmrahneshin/signal_classification_with_ML" target="_blank" rel="noopener">Seizure Signal Classification&lt;/a>&lt;/mark>.&lt;/p></description></item></channel></rss>