Cargando…
Confidence-based laboratory test reduction recommendation algorithm
BACKGROUND: We propose a new deep learning model to identify unnecessary hemoglobin (Hgb) tests for patients admitted to the hospital, which can help reduce health risks and healthcare costs. METHODS: We collected internal patient data from a teaching hospital in Houston and external patient data fr...
Autores principales: | Huang, Tongtong, Li, Linda T., Bernstam, Elmer V., Jiang, Xiaoqian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173656/ https://www.ncbi.nlm.nih.gov/pubmed/37165369 http://dx.doi.org/10.1186/s12911-023-02187-3 |
Ejemplares similares
-
Predicting multiple sclerosis severity with multimodal deep neural networks
por: Zhang, Kai, et al.
Publicado: (2023) -
Deep into Laboratory: An Artificial Intelligence Approach to Recommend Laboratory Tests
por: Islam, Md. Mohaimenul, et al.
Publicado: (2021) -
Enoxaparin may be associated with lower rates of mortality than unfractionated heparin in neurocritical and surgical patients
por: Samuel, Sophie, et al.
Publicado: (2023) -
HCF-CRS: A Hybrid Content based Fuzzy Conformal Recommender System for providing recommendations with confidence
por: Ayyaz, Sundus, et al.
Publicado: (2018) -
The role of the media on maternal confidence in provider HPV recommendation
por: Walker, Kimberly K., et al.
Publicado: (2020)