Category: Uncategorized
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Predicting ED Admission Disposition and Patient Clustering for Resource Optimization
This study introduces a predictive framework for emergency department operations by integrating advanced machine learning methodologies. Utilizing logistic regression, the model forecasts patient admission dispositions from routine clinical data to improve resource allocation and patient flow. Additionally, the framework employs dimensionality reduction and clustering techniques—UMAP, Gaussian Mixture Models, and PCA—to reveal latent patient subgroups, offering…
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An Exploration of Voting Drivers Behind California Prop. 29 —Dialysis Clinic Requirements Initiative
This project explores trends in dialysis clinic access, quality of care, and ballot results in the state of California in recent years using data from the Center for Medicare and Medicaid Services (CMS), California Health and Human Services (CHHS), and California Secretary of State (SOS). Access full article here
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Artificial Intelligence for Improved Hepatosplenomegaly Diagnosis
This study developed convolutional neural networks to automatically segment the liver and spleen from CT scans, achieving near-perfect agreement with manual measurements. The models produced highly accurate volumetric estimates, revealing significant differences in organ sizes between males and females, which required sex-specific thresholds for defining enlargement. Compared to traditional radiologist assessments, which had moderate sensitivity…
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Race and Gender Shift among Academic Glaucoma Specialists in the Last 5 Decades
This study investigates demographic trends within academic medicine by examining changes in gender and underrepresented minority (URM) representation among glaucoma specialists. Recognizing that greater racial and gender diversity can improve patient satisfaction and healthcare outcomes, the study contextualizes current disparities in the physician workforce—particularly in ophthalmology, where URM and female representation remain disproportionately low. By…
Kasra Afzali 