Interpretable and continuous AKI prediction in the intensive care
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Updated
Oct 4, 2021 - Jupyter Notebook
Interpretable and continuous AKI prediction in the intensive care
Repo for the paper entitled "Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of multivariate approaches".
This project builds and validates a Markov model to predict the clinical trajectory of hospitalized COVID-19 patients at UCSF
This is a collection of several papers that I wrote for my Cases in Business Analytics Course which discusses my findings using JMP Pro 17 as they relate to different industries.
A literature review exploring how missing data was handled across the pipeline of commonly used UK clinical prediction models
Repo for the paper entitled "Developing Risk Prediction Models using Penalisation within Data that Adheres to Minimum Sample Size Criteria"
Big Data for Quality of Life (BD4QoL) EU project repository.
Asymmetry at Disease Onset Is Not a Predictor of Parkinson’s Disease Progression
Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors
This repo contains the code used for the CARSS external validation project.
This project evaluates the relationship between Area Deprivation Index (ADI), clinical severity, length of stay (LOS), and readmission among COVID-19 patients at UCSF
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