Cargando…
Representation learning in intraoperative vital signs for heart failure risk prediction
BACKGROUND: The probability of heart failure during the perioperative period is 2% on average and it is as high as 17% when accompanied by cardiovascular diseases in China. It has been the most significant cause of postoperative death of patients. However, the patient is managed by the flow of infor...
Autores principales: | Chen, Yuwen, Qi, Baolian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902523/ https://www.ncbi.nlm.nih.gov/pubmed/31818298 http://dx.doi.org/10.1186/s12911-019-0978-6 |
Ejemplares similares
-
Effects of Holding Beta-Blockers on the Vital Signs of Heart Failure Patients
por: Erickson, Marc, et al.
Publicado: (2021) -
Intraoperative alteration in the vital signs of diabetic patients during cataract surgery with local anesthesia
por: Kojima, Yuka, et al.
Publicado: (2022) -
Vital Block and Vital Sign Server for ECG and Vital Sign Monitoring in a Portable u-Vital System
por: Bae, Tae Wuk, et al.
Publicado: (2020) -
Prediction of intrapartum fever using continuously monitored vital signs and heart rate variability
por: Debnath, Shubham, et al.
Publicado: (2023) -
Signed random walk diffusion for effective representation learning in signed graphs
por: Jung, Jinhong, et al.
Publicado: (2022)