Machine Learning for Patient Risk Stratification for Acute Respiratory Distress Syndrome (Zeiberg & Prahlad et al.), PLOS ONE, March 2019. https://doi.org/10.1371/journal.pone.0214465

Colorectal cancer risk mapping through Bayesian Networks

Presentation on risk stratification model

Real-world hemodialysis data analysis focused on intradialytic hypotension, clinical risk patterns, and patient-level hemodynamic phenotyping.

A worked example to support the e-Learning for Health (e-LfH) PHM Risk Stratification Module.

RENALGUARD AI - CKD Management Platform for Primary Care Physicians

Healthcare analytics system identifying hospitals at risk for CMS readmission penalties. Analyzes $5.96B in financial exposure, predicts intervention opportunities, saves $1.46B. Python • scikit-learn • CMS data • Healthcare policy

Discovering healthcare insights through data-driven analysis of EHRs. This project comprises three subprojects: data cleaning & preparation, exploratory data analysis and lastly, predictive modeling for in-hospital mortality and clinical risk stratification.

Predição do risco de óbito de pacientes com COVID-19

HER2-Amplified vs Non-Amplified Breast Cancer Transcriptome Analysis (TCGA BRCA): Differential Expression, Pathway Enrichment, and Lasso-Cox Survival Stratification

Risk Stratification project to predict the healthcare needs of the Basque population (Osakidetza & BCAM)

Portfolio project: Clinical risk stratification & population health analytics using Python and Pandas.

Capacity-aware hospital readmission prioritization with calibrated ML, workflow simulation, fairness analysis, and a Streamlit demo.

Hypertension Risk Stratification Using Machine Learning: Lift-Based Evaluation on SAS® Viya With the Framingham Heart Study

A data analytics project analyzing healthcare cost drivers and patient risk factors, built with SQL, Python, and an interactive Plotly Dash dashboard.

AI Clinical Decision Support System for Risk Stratification and Differential Diagnosis using NEWS2, CURB,ect. Streamlit-based Digital Health AI prototype.

Transformer-based non-communicable disease risk stratification using longitudinal IHME GBD (47M rows), WHO expenditure, and World Bank socioeconomic indicators

Wraps a standardized approach to risk stratification used by the intelligence function

Scoping review of perioperative analgesic strategy in total knee arthroplasty (PRISMA-ScR/JBI). Maps evidence across 5 domains: anesthesia modality, regional technique, adjuvant pharmacology, risk stratification, and outcome measurement. Submitted to medRxiv.