Robust extraction of pneumonia-associated clinical states from electronic health records

F Xu, FL Morales, LAN Amaral - Proceedings of the National Academy of …, 2024 - pnas.org
Mining of electronic health records (EHR) promises to automate the identification of
comprehensive disease phenotypes. However, the realization of this promise is hindered by …

[HTML][HTML] Stratification of Alzheimer's Disease Patients Using Knowledge-Guided Unsupervised Latent Factor Clustering with Electronic Health Record Data

L Wang, S Venkatesh, M Morris, M Li, R Srivastava… - medRxiv, 2024 - pmc.ncbi.nlm.nih.gov
ABSTRACT Background People with Alzheimer's disease (AD) exhibit varying clinical
trajectories. There is a need to predict future AD-related outcomes such as morbidity and …

Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias

M West, C Magdamo, L Cheng, Y He, S Das - arxiv preprint arxiv …, 2024 - arxiv.org
Alzheimer's disease is a progressive, debilitating neurodegenerative disease that affects 50
million people globally. Despite this substantial health burden, available treatments for the …

Distinct medical and substance use histories associate with cognitive decline in Alzheimer's Disease

C Mansel, DR Mazzotti, R Townley, ME Sardiu… - medRxiv, 2024 - medrxiv.org
INTRODUCTION Phenotype clustering reduces patient heterogeneity and could be useful
when designing precision clinical trials. We hypothesized that the onset of early cognitive …

Deep Learning Analysis of Retinal Structures and Risk Factors of Alzheimer's Disease

S Leem, Y Yang, AJ Woods… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
The importance of early Alzheimer's Disease screening is becoming more apparent, given
the fact that there is no way to revert the patient's status after the onset. However, the …