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

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

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

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.

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.

RENALGUARD AI - CKD Management Platform for Primary Care Physicians

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

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

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.