Cargando…
Classifying the lifestyle status for Alzheimer’s disease from clinical notes using deep learning with weak supervision
BACKGROUND: Since no effective therapies exist for Alzheimer’s disease (AD), prevention has become more critical through lifestyle status changes and interventions. Analyzing electronic health records (EHRs) of patients with AD can help us better understand lifestyle’s effect on AD. However, lifesty...
Autores principales: | Shen, Zitao, Schutte, Dalton, Yi, Yoonkwon, Bompelli, Anusha, Yu, Fang, Wang, Yanshan, Zhang, Rui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261217/ https://www.ncbi.nlm.nih.gov/pubmed/35799294 http://dx.doi.org/10.1186/s12911-022-01819-4 |
Ejemplares similares
-
A clinical text classification paradigm using weak supervision and deep representation
por: Wang, Yanshan, et al.
Publicado: (2019) -
Weakly Supervised Sensitive Heatmap framework to classify and localize diabetic retinopathy lesions
por: Al-Mukhtar, Mohammed, et al.
Publicado: (2021) -
Weakly supervised label propagation algorithm classifies lung cancer imaging subtypes
por: Ren, Xueting, et al.
Publicado: (2023) -
Weakly-supervised deep learning models in computational pathology
por: Augustine, Tanya N.
Publicado: (2022) -
Computer-Aided Diagnosis of Alzheimer’s Disease through Weak Supervision Deep Learning Framework with Attention Mechanism
por: Liang, Shuang, et al.
Publicado: (2020)