From the 1 of 4 linked papers with an AI index.
3 papers
Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts
Christelle Schneuwly Diaz, Narmina Baghirova, Duy-Thanh Vu +4
The paper introduces NITROGEN, an imputation‑free transformer that learns from partially observed clinical records to predict Alzheimer's disease diagnosis and cognitive scores whi…
Explainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction
Narmina Baghirova, Duy-Thanh VÅ©, Duy-Cat Can +6
Alzheimer's disease (AD) affects 50 million people worldwide and is projected to overwhelm 152 million by 2050. AD is characterized by cognitive decline due partly to disruptions i…
OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values
Christelle Schneuwly Diaz, Duy-Thanh Vu, Julien Bodelet +7
Alzheimer's disease, a neurodegenerative disorder, is associated with neural, genetic, and proteomic factors while affecting multiple cognitive and behavioral faculties. Traditiona…