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.

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

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

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/

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.

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

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

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

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

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

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

Clinical data science investigation of environmental covariates in ABA outcomes — tiered prediction model, OSF-pre-registered, with interactive prototypes.

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

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.