This R Package helps with the analisis of health data. It provides with useful functions that help in the extraction of information related to electronic health records.
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Updated
Jan 15, 2023 - R
This R Package helps with the analisis of health data. It provides with useful functions that help in the extraction of information related to electronic health records.
A brief machine learning/data visualization project on a limited set of variables meant to predict the onset of diabetes.
This project, done for GA Tech, explores relationship between health factors and hospitalization in NHANES dataset
Applied Econometrics Project, Analysis conducted with R
This repository showcases a model that has been developed to support a paediatric consultant that predicts whether a new born baby will be of low birth weight (<2500g) based on various characteristics of the mother.
(H)ealth (C)ost (C)ompare TOOLS -- A package which contains commonly used functions for EDA to examine APCD wrangled datasets.
Great River Medical Center's Data Science team is developing a readmissions model for diabetic patients to tackle financial and healthcare strain caused by readmissions. The model predicts high-risk patients to inform a pilot program improving treatment outcomes.
Project to predict healthcare industry return of BUFN758N Financial Econometrics
Code for EAVE II project 'Cohort Profile' (DOI: https://doi.org/10.1093/ije/dyab028)
An analysis of openly available data on intermediate care in England, including data on discharges from acute and community hospitals, local authority-provided reablement, and urgent community response services.
Serena is an interactive dashboard designed to integrate many R-packages to visualize biological data.
R data analysis including shiny app
Cross-sectional analysis of the association between poor mental health days, healthcare access and cannabis in WA State using BRFSS data from the CDC.
In this project we attempt to find the association between the probability of heart disease and various demographic or health factors of the patients including age, sex, chest pain type, cholesterol levels etc.
*Incomplete* Example partitioned survival model (PSM) in R for Nivolumab versus Ipilimumab in melanoma (with some stuff made up).
A brief analysis on how reports of the Zika virus in the US shifted the healthcare industry as a whole.
Predicting if an incoming Patient is Suffering from lower back pain or not.
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