A sankey visualization of the sequence of answers corresponding to a "Smartphrase question set" that is invoked by neurology providers to record the availability of imaging data during new patient visits (NPV's).

A multimodal machine learning project to predict 30-day hospital readmission using a RAG-LLM pipeline (ClinicalBERT, FAISS, Mistral-7B) and structured data (ML models).

FHIR layer for healthcare data platform GameBus and beyond

A data science analysis of therapeutic game performance in physical rehabilitation, using score-per-minute metrics and game difficulty mapping.

A comprehensive healthcare analytics platform that provides insights into US healthcare systems across all 50 states, featuring advanced data visualization, machine learning predictions, and real-time monitoring capabilities.

A Next.js 15 app with Express.js backend and MongoDB, featuring public landing/products pages and protected add-product functionality using NextAuth.js.

Record, track, and visualize your personal health data.

Exploratory data analysis of hospital patient outcomes using Python (Pandas, Matplotlib) to identify trends in length of stay, diagnosis, and readmission risk.

Hello, and thank you for visiting my project on Python Data Analysis for Healthcare. As I learn to utilize Python programming and data analysis approaches to tackle real-world healthcare challenges, this repository tracks my experience as I become more proficient in these areas.

A data visualization project exploring Emergency Room trends—patient volume, wait times, satisfaction, and demographics—using Tableau.

Proyecto de gestión de información para proyectos de salud pública, diseñado como parte de mi certificación en programación con Python del Ministerio de Tecnologías de la Información y las Comunicaciones - Universidad Tecnológica de Pereira UTPFACEIT en el programa gubernamental Talento Tech.

Analyzed trends in Medicare service charges and hospital discharges across different states and DRG codes from 2018 to 2022 using data visualization and interactive Plotly plots.

Healthcare Claims Data Analytics to undercover care utilization of beneficiaries with cardiovascular or/and cancer condition

Used R to visualize and analyze a dataset of heart patients with many predictor variables. Evaluated several machine learning models, such as logistic, linear discriminant analysis, quadratic analysis model, and K-nearest neighbors model, to find best fit for the data. Used random forests for tuning and cross validation.

Machine-learning pipeline to predict patient attrition in clinical trials using ClinicalTrials.gov API data and geospatial analysis

Clinical models for admission of emergency patients

Group project for the course BUDT704: Data Processing and Analysis using Python

HealthStat is a Power BI Dashboard designed to analyze Elective Hip Replacement Surgical Inpatient Stays across hospitals in New York State. This dashboard provides insightful comparisons on Length of Stay (LOS), Cost per Discharge, and Hospital Performance Profiles.

Hospital database system built with Oracle APEX and SQL, featuring an interactive dashboard for real-time insights into patient distribution and doctor availability. Designed to optimize resource management and support hospital administration in data-driven decision-making.

Code and documentation for analysis predicting patient readmission rates.