Interactive comorbidity analysis on the web
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Updated
Mar 31, 2022 - HTML
Interactive comorbidity analysis on the web
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.
AI/ML-driven analysis of clinical trial oversight, reporting timeliness, and quality using AACT and ClinicalTrials.gov data.
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.
ACO revenue leakage quantification via Medicare specialty referral network analysis (NetworkX, Python)
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)
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.
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