A Quarto-based collection of supplementary material from the clinical prediction models book.

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

Big Data for Quality of Life (BD4QoL) EU project repository.

End-to-end binary classification pipeline for clinical risk prediction using PyTorch. Includes preprocessing, imbalanced data handling with SMOTE, optimizer benchmarking (SGD vs Adam), and performance visualization (AUC-ROC, Confusion Matrix). Designed to align with healthcare AI applications and model evaluation best practices.

Repo for the paper entitled "Developing Risk Prediction Models using Penalisation within Data that Adheres to Minimum Sample Size Criteria"

An open science project -- recursive harmonic resonance data: frequency signatures & universal ratios from subquantum to stellar. Welcome to the Aramis Field. (Errors are probably the AI's fault.)

Predicting 10-year coronary heart disease (CHD) risk using 8 machine learning models on imbalanced clinical data. Best model: AdaBoost (balanced accuracy ~0.697). Includes data cleaning, feature engineering, class imbalance handling, and model comparison.

This repo contains the code used for the CARSS external validation project.

A literature review exploring how missing data was handled across the pipeline of commonly used UK clinical prediction models

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.

Asymmetry at Disease Onset Is Not a Predictor of Parkinson’s Disease Progression

Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors

Calibrated plasma proteomic ML classification of ATI — KPMP SomaScan, RO-2026-001 | Frontier Translational Research Lab, BU

This project evaluates the relationship between Area Deprivation Index (ADI), clinical severity, length of stay (LOS), and readmission among COVID-19 patients at UCSF