Topic: healthcare-analysis Goto Github
Some thing interesting about healthcare-analysis
Some thing interesting about healthcare-analysis
healthcare-analysis,Happy Cure is android app health care. Developed using Flutter.
User: anandarauf
healthcare-analysis,This repository is a work in progress! The aim is to create a healthcare service capacity-and-demand forecasting tool using discrete-time simulation package SimPy.
User: ben-a-f
healthcare-analysis,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.
User: bukandu1
healthcare-analysis,[3rd Place DevSC] Telegram Chatbot POC for the Brazilian Healthcare System
User: canokaue
Home Page: https://canokaue.github.io/ChatSUS/
healthcare-analysis,A Spring Boot Application with a Thymeleaf Frontend. Java + Spring Boot framework. MVC and Data transfer Object Design Pattern DTOD), Using an open-source REST client - Spring REST template.
User: chs74515
healthcare-analysis,Statistical analysis of heart disease data project completed during my enrollment in the Data Science program through Thinkful.
User: coreycoole
healthcare-analysis,
User: davidgraymi
healthcare-analysis,:notebook: .Net library for OMOP CDM management
User: dermatologist
Home Page: https://nuchange.ca
healthcare-analysis,Healthcare modelling using Python, Pandas and Dask
User: diaazul
healthcare-analysis,
User: dimas17051999
healthcare-analysis,A level 5 Hospital System ------Still Ongoing
User: dnxempire-1
healthcare-analysis,This project is about statistically analyzing risk factors for heart disease and performing A/B testing, descriptive and inferential statistics to provide health care plans and strategies to better understand the risk factors assocaited with heart disease and give key insights into what factors contribute most heavily and least heavily to the development of heart disease.
User: elliott-dev
healthcare-analysis,All of mine ML projects
User: elysian01
healthcare-analysis,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.
User: gregbeaumont
healthcare-analysis,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
User: het21
healthcare-analysis,Our analysis delves into a comprehensive examination of stroke data to better understand its risk factors and implications for healthcare. Stroke data analysis serves as a valuable tool for identifying potential risk factors, developing preventive strategies, and enhancing patient care.
User: jaleesmoeen
healthcare-analysis,Brain Tumor Detection using Deep Learning on AWS SageMaker: A project focused on building and training a deep learning model to detect brain tumors in MRI images. Leveraging AWS SageMaker and Ground Truth, we explore binary classification techniques for accurate diagnosis.
User: jaypat2003
healthcare-analysis,A data and statistics analysis on the institutions in charge of healthcare in Mexico.
User: joannepeel
healthcare-analysis,
User: joseliareis
healthcare-analysis,This is the 2020 MMA Datathon project related to healthcare fraud detection analysis. Result: Top 5 Finalist
User: junduo123
healthcare-analysis,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.
User: khushibhadange
healthcare-analysis,Machine Learning studies at Brandeis University, with my best friends Ran Dou, Tianyi Zhou, Dan Mduduzi, Siyan Lin.
User: kimonokimo
healthcare-analysis,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.
User: lake-wang
healthcare-analysis,Humana-Mays Healthcare Analytics 2020 Case Competition
User: liyue34673
healthcare-analysis,
User: mihryam
healthcare-analysis,Hospital admission data was analyzed to accurately predict the patientโs Length of Stay at the time of admit so that the hospitals can optimize resources and function better.
User: msasnur
healthcare-analysis,A binary classification using Convolution Neural Network (CNN, or ConvNet) model.
User: msikorski93
healthcare-analysis,Uncover the revolutionary impact of handwashing on mortality rates in healthcare. Explore the story of Dr. Semmelweis and his groundbreaking findings.
User: nafisalawalidris
healthcare-analysis,Exploratory data analysis to see if there is any country, demonstrating more effective use of Healthcare cost to maintain its longevity than other countries.
User: namif
healthcare-analysis,Demonstrating the implementation and value of the Bayesian statistics framework in healthcare
Organization: nhs-south-central-and-west
healthcare-analysis,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.
Organization: nusdbsystem
healthcare-analysis,Reanalyze the data behind one of the most important discoveries of modern medicine: handwashing.
User: omaralkousa
healthcare-analysis,NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) research creates knowledge about and treatments for the most chronic, costly, and consequential diseases. The dataset used in this project is originally from NIDDK. The objective is to predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Build a model to accurately predict whether the patients in the dataset have diabetes or not.
User: purvatijare
healthcare-analysis,Project to create models to predict ICU patient mortality based on demographic, diagnostic, and other factors utilizing Apache Spark.
User: q-maze
healthcare-analysis,Visualize and make calculations from medical exam data using seaborn, matplotlib, pandas, and numpy.
User: rachh8283
healthcare-analysis,Model to detect if individual has Parkinson's disease using Python Pandas, Numpy, xgbclassifier, MinMaxScaler, classification_report, train_test_split, and seaborn
User: rachh8283
healthcare-analysis,Apply Data Analytics Techniques on Autism dataset to discover hidden patterns that would be leveraged in decision making.
User: raionas
healthcare-analysis,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.
User: raj-shr-git
Home Page: https://medicare-prv-fraud-detection.herokuapp.com/
healthcare-analysis,An open source library for analysis of respiratory EMG
User: resurfemg
healthcare-analysis,I created various dashboards to ascertain (a)Prevalence of all forms of TB across various countries divided into 6 regions, (b)Distribution of mortality, (c) Evaluation of Mortality (d)Comorbidities with HIV
User: snigdha1008
healthcare-analysis,Data sets for the healthyR package.
User: spsanderson
Home Page: https://www.spsanderson.com/healthyR.data/
healthcare-analysis,Leverage Supervised Machine-learning Techiques to Predict Diabetes from Blood Test
User: taweilo
Home Page: https://github.com/Taweilo/Diabetes_Prediction
healthcare-analysis,The Tuva Project Docs i.e. where we write and share our knowledge about healthcare data and analytics.
Organization: tuva-health
Home Page: https://thetuvaproject.com/
healthcare-analysis,This connector is a dbt project that maps Medicare CCLF claims data to the Tuva Input Layer.
Organization: tuva-health
Home Page: https://thetuvaproject.com/
healthcare-analysis,Maps Medicare LDS claims data to the Tuva Input Layer so you can easily run the Tuva Project.
Organization: tuva-health
Home Page: https://thetuvaproject.com/
healthcare-analysis,A dbt project that transforms messy public provider datasets into usable data for the Tuva Project.
Organization: tuva-health
Home Page: https://thetuvaproject.com/
healthcare-analysis,Main repo including core data model, data marts, reference data, terminology, and the clinical concept library
Organization: tuva-health
Home Page: https://thetuvaproject.com/
healthcare-analysis,A starter dbt project and synthetic claims dataset for trying out the Tuva Project.
Organization: tuva-health
Home Page: https://thetuvaproject.com/
healthcare-analysis,Built panel regression model analyzing the variables effecting Healthcare-Expenses and Quality of 26 OECD countries from 2010-16.
User: vinayreddy115
healthcare-analysis,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.
User: virajbhutada
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.