Cargando…
Multi-Clinical Factors Combined with an Artificial Intelligence Algorithm Diagnosis Model for HIV-Infected People with Bloodstream Infection
PURPOSE: Although highly active antiretroviral therapy (HA-ART) can effectively suppress the disease process in patients with acquired immunodeficiency syndrome (AIDS), opportunistic infections, mainly bloodstream infections (BSI), are still the main cause of death in people living with HIV. There i...
Autores principales: | Wu, Lianpeng, Xia, Dandan, Xu, Ke |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503519/ https://www.ncbi.nlm.nih.gov/pubmed/37719647 http://dx.doi.org/10.2147/IDR.S423709 |
Ejemplares similares
-
An Artificial Intelligence Approach to Bloodstream Infections Prediction
por: Pai, Kai-Chih, et al.
Publicado: (2021) -
Computer Algorithms To Detect Bloodstream Infections
por: Trick, William E., et al.
Publicado: (2004) -
The Use of Artificial Intelligence Algorithms in the Diagnosis of Urinary Tract Infections—A Literature Review
por: Goździkiewicz, Natalia, et al.
Publicado: (2022) -
Automated healthcare-associated infection surveillance using an artificial intelligence algorithm
por: dos Santos, R.P., et al.
Publicado: (2021) -
Evaluation of Different Blood Culture Bottles for the Diagnosis of Bloodstream Infections in Patients with HIV
por: Ye, Hui, et al.
Publicado: (2023)