Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
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Updated
Jun 12, 2024
Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
Unlock insights into the U.S. healthcare landscape from 2019 to 2020. Our PowerBI-driven analysis delves into hospital performance, patient outcomes, and payer-provider dynamics. Dive into detailed reports and visualizations for informed decision-making, empowering healthcare stakeholders, and shaping the industry's future.
The Tuva Project Docs i.e. where we write and share our knowledge about healthcare data and analytics.
Data sets for the healthyR package.
MedCare is a healthcare management system designed to streamline and enhance the patient experience. It provides a platform for patients to easily schedule appointments, access their medical records, and communicate with healthcare providers.
Discover a curated collection of dynamic Power BI dashboards covering financial analytics, HR metrics, streaming service trends, real estate dynamics, and more. Meticulously designed for comprehensive data exploration, this repository continues to expand with new and impactful visualizations.
An open source library for analysis of respiratory EMG
A comprehensive Power BI project analysing healthcare industry data, exploring patient demographics, hospital performance, and payer-provider dynamics through interactive visualizations & made executive summary report that provide actionable insights for strategic decision-making.
A starter dbt project and synthetic claims dataset for trying out the Tuva Project.
I created a responsive and dynamic dashboard with a summary page and a detailed page whcih shows key metrics such as average wait list for different age groups, monthly trends etc. For this project we used power BI to create the reports
Conduct comprehensive healthcare data analysis to derive insights, improve patient outcomes, and optimize operational efficiency through advanced statistical methodologies and machine learning techniques. Delivering actionable intelligence for informed decision-making.
Healthcare Analytics and Machine Learning: Dementia Prediction and Data Insights demonstrating data analysis, predictive modeling, and visualization techniques applied to healthcare data
Group project for the course BUDT704: Data Processing and Analysis using Python
Group Project: DATA 515 A Wi 24: Software Design For Data Science
The knowledge about medical records is crucial in the treatment of a patient and it indicates his/her survival odds to a great extent. In this project, we predict whether a patient will survive or not, based on various relevant medical information.
Identification of high-risk patients unsuitable for medical procedure. Cleaned claims of inconsistent quality and built meta prediction model. Fairness adjusted AUC score ranked top 20% of more than 200 participating teams.
Maps Medicare LDS claims data to the Tuva Input Layer so you can easily run the Tuva Project.
this Is my HealthCare Website under Hack-a-thon HackFest( Delhi/NCR) GEEKS FOR Geeks which is still in working .The system should continuously gather and analyze healthcare data while promoting healthy lifestyles and wellness practices.
This connector is a dbt project that maps Medicare CCLF claims data to the Tuva Input Layer.
Centralized reference system
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