There are 13 repositories under healthcare-analysis topic.
Main repo including core data model, data marts, data quality tests, and terminology sets.
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.
A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, anomaly detection, and etc.
An experimental Clinical Quality Language execution engine for analyzing FHIR healthcare data at scale.
Hospital admission data was analyzed to accurately predict the patient’s Length of Stay at the time of admit so that the hospitals can optimize resources and function better.
A starter dbt project and synthetic claims dataset for trying out the Tuva Project.
In this repository, explore insightful solutions through exploratory data analysis focusing on mental health problems. Gain valuable insights into understanding and addressing key challenges in this critical domain.
Power Pop Health is a collection of content intended to simplify the process of ingesting and prepping Healthcare Open Data using Azure data tools and Power BI. Moving forward the overarching theme will be data related to Population Health, but other sources pertinent to Healthcare will also be included.
This connector is a dbt project that maps Medicare CCLF claims data to the Tuva Input Layer.
An open source library for analysis of respiratory EMG
The Tuva Project Docs i.e. where we write and share our knowledge about healthcare data and analytics.
A web application that assists patients with reviewing objective quality indicators and subjective reviews together along with making an informed decision about their future care.
Maps Medicare LDS claims data to the Tuva Input Layer so you can easily run the Tuva Project.
Data sets for the healthyR package.
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.
A dbt project that transforms messy public provider datasets into usable data for the Tuva Project.
Hospital episodes can overlap or have gaps which can result in under or over counting. This package contains functions which can be used to rectify this common analytical issue in NHS data.
Statistical analysis of heart disease data project completed during my enrollment in the Data Science program through Thinkful.
Healthcare modelling using Python, Pandas and Dask
All of mine ML projects
:notebook: .Net library for OMOP CDM management
A data and statistics analysis on the institutions in charge of healthcare in Mexico.
Humana-Mays Healthcare Analytics 2020 Case Competition
A level 5 Hospital System ------Still Ongoing
Machine Learning studies at Brandeis University, with my best friends Ran Dou, Tianyi Zhou, Dan Mduduzi, Siyan Lin.
Exploratory data analysis to see if there is any country, demonstrating more effective use of Healthcare cost to maintain its longevity than other countries.
A project using Python's PyML library to predict whether an employee needs mental health treatment or not based on their background data acquired from their survey answers
Template reproducible analytical pipeline (RAP) for simple python discrete-event simulation (DES) model.
Happy Cure is android app health care. Developed using Flutter.
A binary classification using Convolution Neural Network (CNN, or ConvNet) model.
Hey Data Ninjas! Here you'll get to get your hands dirty with real time data that cuts across each sector. Firstly, since I'm a healthcare professional, you'll see data regarding pathologies and I hope this gives you a deeper insight of specific pathologies though the projects cut across all sectors. Happy Data Science!
Project to create models to predict ICU patient mortality based on demographic, diagnostic, and other factors utilizing Apache Spark.
This repository contains the code components of work carried out for analyzing the Medical Provider Fraud Detection dataset with the intent to find most important features to crack down the potentially fraud providers.
Leverage Supervised Machine-learning Techiques to Predict Diabetes from Blood Test
Built panel regression model analyzing the variables effecting Healthcare-Expenses and Quality of 26 OECD countries from 2010-16.