Investigation of inflation of Integrated Brier Score for validation of survival models
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Updated
May 14, 2024 - R
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"
A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.
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.
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction
Survival probability of burn injury patients based on age, sex, race, hospital facility, and other significant facility nearing respondents.
DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation
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
GraphLSurv: A Scalable Survival Prediction Network with Adaptive and Sparse Structure Learning for Histopathological Whole-Slide Images
This is my attempt on the Titanic Machine Learning challenge in Kaggle and Breast Cancer Prediction Challenge in Topcoder.
A course project for estimating the parameters of a Weibull Distribution which models the survival rates of cancer using Maximum Likelihood Estimation
Benchmark survival ML models against a multimodal TCGA dataset
In this work I tested if there was an improvement in performance in the use of different survival models.
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