Cargando…
Performance of Machine Learning Algorithms for Predicting Adverse Outcomes in Community-Acquired Pneumonia
Background: The ability to assess adverse outcomes in patients with community-acquired pneumonia (CAP) could improve clinical decision-making to enhance clinical practice, but the studies remain insufficient, and similarly, few machine learning (ML) models have been developed. Objective: We aimed to...
Autores principales: | Xu, Zhixiao, Guo, Kun, Chu, Weiwei, Lou, Jingwen, Chen, Chengshui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278327/ https://www.ncbi.nlm.nih.gov/pubmed/35845426 http://dx.doi.org/10.3389/fbioe.2022.903426 |
Ejemplares similares
-
Review on the Application of Machine Learning Algorithms in the Sequence Data Mining of DNA
por: Yang, Aimin, et al.
Publicado: (2020) -
Inverse design of anisotropic bone scaffold based on machine learning and regenerative genetic algorithm
por: Liu, Wenhang, et al.
Publicado: (2023) -
Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation
por: He, Chunliu, et al.
Publicado: (2020) -
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning
por: Burdack, Johannes, et al.
Publicado: (2020) -
Machine Learning in Orthopedics: A Literature Review
por: Cabitza, Federico, et al.
Publicado: (2018)