Updated risk equations for type 2 diabetes complications
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Updated
Jan 22, 2020 - R
Updated risk equations for type 2 diabetes complications
A collection of R functions designed to facilitate the interaction with and analysis of EHR data
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.
Shiny App: A zlog-based algorithm and tool for plausibility checks of reference intervals
R module with equations for clinical pharmacokinetics [DEPRECATED]
R code for some toy examples of reinforcement learning
Data and analyses code for the manuscript "Revisiting cardiac output estimated noninvasively from oxygen uptake during exercise: An exploratory hypothesis generating replication study"
Comparison of Binary Diagnostic Tests in a Paired Study Design
Repository for analyzing Mexican medical students' mental health data
Clinical usefulness of the SAMe-TT2R2 score to predict a poor TTR
CTAMACE is a web application which can be used to predict major cardiovascular events (MACE) two years following coronary multidetector computed tomography (MDCT) using combined anatomical coronary findings and clinical features
R package for the working paper "Detecting Behavioral Hazard in Health Care" by Chandra, Flack, and Obermeyer
An interactive webtool exploring GRIN genes and related disorders
Software Tool for the Analysis and Visualization of MRI images of the brain
Poster for 2021 Society for Research in Psychopathology conference - "How is personality pathology related to negative perceptions of others?"
Shiny App: Generator for age-dependent data using functions or given RI
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