Interactive comorbidity analysis on the web

Explainable ML model for 1-year mortality prediction in hemodialysis patients, focused on vascular access, inflammation, and clinical risk stratification.

Comprehensive collection of 8 clinical data science and health analytics projects focusing on disease prediction, risk stratification, and treatment pattern analysis using advanced machine learning algorithms and statistical modeling. Portfolio: https://nana-safo-duker.github.io/

a project for peer assignment in Predictive Modelling course of Clinical Data Science Specialization on Coursera.

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

EHR-based observational survival analysis of ICU patients with COPD using the MIMIC-IV database. This project evaluates the association between early RAAS inhibitor exposure and in-hospital mortality using time-to-event methods.

Unsupervised learning for patient phenotype discovery in critical care hypotension cohort. Applied clustering algorithms on 5,000+ ICU patients to identify distinct subgroups with significantly different mortality rates and length of stay outcomes.

Medical knowledge graph from 47K PubMed articles with RAG-powered clinical Q&A (Neo4j, Python)

AI/ML-driven analysis of clinical trial oversight, reporting timeliness, and quality using AACT and ClinicalTrials.gov data.

Clinical data science pipeline predicting 30-day hospital readmission using MIMIC-III ICU data — featuring ICD-9 comorbidity engineering, lab biomarker extraction, SHAP explainability, fairness audit, and Streamlit dashboard

Python R Hybrid clinical trial machine learning project for clinical development using CDISC-aligned data, SDTM/ADaM workflows, safety analytics, endpoint modeling, and survival analysis

ACO revenue leakage quantification via Medicare specialty referral network analysis (NetworkX, Python)

A high-fidelity triage system using Isotonic-calibrated ensembles and human-in-the-loop deferral.

EHR-based observational analysis of non-ICU hospital admissions using the MIMIC-IV database. This study examines the relationship between early RAAS inhibitor exposure and in-hospital mortality with multivariable regression and survival analysis.

MD thesis project on longitudinal EHR modelling and Hidden Markov Models for patient trajectory analysis.