5 papers
An Explainable Machine Learning Framework for Predicting Blood-Brain Barrier Permeability Using Molecular Descriptors
Fatemeh Mahmoudi
Blood-brain barrier (BBB) permeability is a critical determinant in the development of central nervous system therapeutics because it directly influences the ability of drug candid…
A Machine Learning Framework for Predicting Glass-Forming Ability in Ternary Alloy Systems
Fatemeh Mahmoudi
Predicting the glass-forming ability (GFA) of chemical compositions remains a fundamental challenge in materials science, especially for oxide glasses with broad compositional dive…
Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
Fatemeh Mahmoudi, Chenxi Li, Kaida Cai +1
Competing risks data refer to situations where the occurrence of one event pre- cludes the possibility of other events happening, resulting in multiple mutually exclusive events. T…
Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
Christian Chan, Fatemeh Mahmoudi, Chel Hee Lee +2
We introduce a novel method to simultaneously perform variable selection and estimation in the joint frailty model of recurrent and terminal events using the Broken Adaptive Ridge…
Penalized Variable Selection with Broken Adaptive Ridge Regression for Semi-competing Risks Data
Fatemeh Mahmoudi, Xuewen Lu
Semi-competing risks data arise when both non-terminal and terminal events are considered in a model. Such data with multiple events of interest are frequently encountered in medic…