Cargando…
Machine-learning based prediction and analysis of prognostic risk factors in patients with candidemia and bacteraemia: a 5-year analysis
Bacteraemia has attracted great attention owing to its serious outcomes, including deterioration of the primary disease, infection, severe sepsis, overwhelming septic shock or even death. Candidemia, secondary to bacteraemia, is frequently seen in hospitalised patients, especially in those with weak...
Autores principales: | Gao, Yali, Tang, Mingsui, Li, Yaling, Niu, Xueli, Li, Jingyi, Fu, Chang, Wang, Zihan, Liu, Jiayi, Song, Bing, Chen, Hongduo, Gao, Xinghua, Guan, Xiuhao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206432/ https://www.ncbi.nlm.nih.gov/pubmed/35726257 http://dx.doi.org/10.7717/peerj.13594 |
Ejemplares similares
-
Prediction of Prognostic Risk Factors in Patients with Invasive Candidiasis and Cancer: A Single-Centre Retrospective Study
por: Li, Jingyi, et al.
Publicado: (2022) -
Machine-learning based prediction of prognostic risk factors in patients with invasive candidiasis infection and bacterial bloodstream infection: a singled centered retrospective study
por: Li, Yaling, et al.
Publicado: (2022) -
Efficacy of T2 Magnetic Resonance Assay in Monitoring Candidemia after Initiation of Antifungal Therapy: the Serial Therapeutic and Antifungal Monitoring Protocol (STAMP) Trial
por: Mylonakis, Eleftherios, et al.
Publicado: (2018) -
LncRNA BASP1‐AS1 interacts with YBX1 to regulate Notch transcription and drives the malignancy of melanoma
por: Li, YaLing, et al.
Publicado: (2021) -
Identification and Validation of Prognostically Relevant Gene Signature in Melanoma
por: Gao, Yali, et al.
Publicado: (2020)