<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Qian Li, PhD</title><description>Qian Li, PhD, Research Assistant Professor of Health Outcomes and Biomedical Informatics at the University of Florida. Research on real-world data, AI and study design for more reliable clinical evidence.</description><link>https://qianlidata.com/</link><language>en-us</language><item><title>Visualizing healthcare quality trends in Texas Medicaid</title><link>https://qianlidata.com/research/projects/medicaid-quality-visualization/</link><guid isPermaLink="true">https://qianlidata.com/research/projects/medicaid-quality-visualization/</guid><description>Small-multiple and bubble charts of potentially preventable admissions, visits and readmissions across Texas Medicaid service areas, prepared for the 2024 Texas Quality Forum.</description><pubDate>Sat, 04 Jan 2025 00:00:00 GMT</pubDate><category>Research</category></item><item><title>De-identifying clinical notes across institutions with deep learning</title><link>https://qianlidata.com/research/projects/clinical-note-deidentification/</link><guid isPermaLink="true">https://qianlidata.com/research/projects/clinical-note-deidentification/</guid><description>How well deep learning de-identification models trained on one institution&apos;s notes transfer to another&apos;s, and what it takes to adapt them, using the 2014 i2b2/UTHealth corpus and a new corpus of University of Florida Health notes.</description><pubDate>Wed, 25 Dec 2024 00:00:00 GMT</pubDate><category>Research</category></item><item><title>Early prediction of Alzheimer&apos;s disease and related dementias from electronic health records</title><link>https://qianlidata.com/research/projects/adrd-prediction/</link><guid isPermaLink="true">https://qianlidata.com/research/projects/adrd-prediction/</guid><description>Machine learning models trained on OneFlorida+ EHR data to predict Alzheimer&apos;s disease and related dementias up to five years before diagnosis, comparing knowledge-driven and data-driven feature sets across four computable phenotypes.</description><pubDate>Tue, 24 Dec 2024 00:00:00 GMT</pubDate><category>Research</category></item><item><title>Running SAS from Jupyter with SASPy</title><link>https://qianlidata.com/life/saspy-jupyter/</link><guid isPermaLink="true">https://qianlidata.com/life/saspy-jupyter/</guid><description>Setting up SASPy so that SAS code runs from Jupyter Notebook or JupyterLab on Windows, with a working configuration and the fix for the most common authentication error.</description><pubDate>Mon, 23 Dec 2024 00:00:00 GMT</pubDate><category>Life</category><category>Software</category><category>SAS</category><category>Python</category></item></channel></rss>