A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

Survival probability of burn injury patients based on age, sex, race, hospital facility, and other significant facility nearing respondents.

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

This project develops predictive maintenance models for industrial robots in nuclear fuel replacement, leveraging data analytics, machine learning, and decision-making frameworks to optimize robot fleet management and extend operational uptime. Key phases include data exploration, feature engineering, RUL prediction, and maintenance decision-making

Framework to build, evaluate, select, and compare ML survival analysis models using high-dimensional biological data and other covariates

AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction

SurvivMIL: A multimodal, Multiple Instance Learning pipeline for survival outcome of Neuroblastoma Patients

DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation

This repository includes the different files used for the master thesis "Dynamic updating of survival prediction models in a pademic setting" by Claudine Stark (performed at LUMC) as part of the Master Statistics and Data Science at Leiden University.

Investigation of inflation of Integrated Brier Score for validation of survival models

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

Offical repo of the paper "A novel methodological framework for the analysis of health trajectories and survival outcomes in heart failure patients" (ICLR 2024)

[ACM-BCB 2023 Oral Presentation] Official repository of "Deep learning-based survival prediction using DNA methylation-derived 3D genomic information"

Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis

Data and statistical analysis projects and assignments I've done throughout my Masters degree programme.

Machine learning project to predict survival outcomes for cirrhosis patients using K-Nearest Neigbors (KNN), Decision Tree, and Support Vector Machine (SVM) models, based on UCI's clinical dataset.

A fully-automatic end-to-end outcome prediction platform for oropharyngeal cancer

Time-related survival prediction in molecular subtypes of breast cancer using time-to-event deep-learning-based models.

Example code supporting immunology research

[MICCAI2023] XSurv: Merging-Diverging Hybrid Transformer Networks for Survival Prediction