Repository containing reinforcement learning experiments for SMART-ACT project using the QuBBD data

In this work I tested if there was an improvement in performance in the use of different survival models.

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

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

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

Example code supporting immunology research

Using data within first 24 hours of intensive care to develop a machine learning model that could improve the current patient survival probability prediction system (apache_4a) and is more generalized to patients outside of the US

Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression -- BIBM 2022

Project scope: Prediction if the bank's client will or will not leave the bank.

Multiresponse time-to-event Cox proportional hazards model - CPU

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.

Predicting customers' churn with survival analysis, including time-dependent variables

Benchmark survival ML models against a multimodal TCGA dataset

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

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

Automating the prognosis of cancer in new patients and also survival prediction of existing cancer patients to see whether they fall into relapse or non-relapse and provide appropriate treatment. We have introduced a new idea , where an e-commerce application using micro services approach has been developed to track the purchases of the users an…

A course project for estimating the parameters of a Weibull Distribution which models the survival rates of cancer using Maximum Likelihood Estimation

AI pitch for survival ML (PANCAIM)

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

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