Cargando…
Measuring the worldwide spread of COVID-19 using a comprehensive modeling method
BACKGROUND: With the global spread of COVID-19, detecting high-risk countries/regions timely and dynamically is essential; therefore, we sought to develop automatic, quantitative and scalable analysis methods to observe and estimate COVID-19 spread worldwide and further generate reliable and timely...
Autores principales: | Zhou, Xiang, Ma, Xudong, Gao, Sifa, Ma, Yingying, Gao, Jianwei, Jiang, Huizhen, Zhu, Weiguo, Hong, Na, Long, Yun, Su, Longxiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504693/ https://www.ncbi.nlm.nih.gov/pubmed/37715170 http://dx.doi.org/10.1186/s12911-023-02213-4 |
Ejemplares similares
-
Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods
por: Chen, Huan, et al.
Publicado: (2021) -
Evaluation of the Secondary Transmission Pattern and Epidemic Prediction of COVID-19 in the Four Metropolitan Areas of China
por: Su, Longxiang, et al.
Publicado: (2020) -
A Clinical Prediction Model to Predict Heparin Treatment Outcomes and Provide Dosage Recommendations: Development and Validation Study
por: Li, Dongkai, et al.
Publicado: (2021) -
Noninvasive Real-Time Mortality Prediction in Intensive Care Units Based on Gradient Boosting Method: Model Development and Validation Study
por: Jiang, Huizhen, et al.
Publicado: (2021) -
Early Prediction of Mortality, Severity, and Length of Stay in the Intensive Care Unit of Sepsis Patients Based on Sepsis 3.0 by Machine Learning Models
por: Su, Longxiang, et al.
Publicado: (2021)