Graph-based workflows and machine learning pipelines are being used to integrate patient information and biomedical knowledge, leading to new discoveries and insights. One study…
Browsing: Survival Prediction
This article discusses the use of machine learning models and a deep neural network to predict the survival outcomes of glioblastoma patients using data…
This study aimed to improve the accuracy of breast cancer survival prediction using a novel ensemble approach. The ensemble uses fuzzy integrals on support…
This study introduces COVID-Net Biochem, a versatile and explainable framework for constructing machine learning models to predict COVID-19 patient survival and the likelihood of…
In this work, we developed and evaluated the medical transformer architecture MeTra to integrate imaging and non-imaging data for survival predictions in patients in…
This multivariable study on colorectal cancer survival prediction used the BART model to demonstrate comparable model performance compared to other nonlinear learning models and…