Cargando…
Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19
Our study was aimed at developing and validating a new approach, embodied in a machine learning-based model, for sequentially monitoring hospitalized COVID-19 patients and directing professional attention to patients whose deterioration is imminent. Model development employed real-world patient data...
Autores principales: | Kogan, Yuri, Robinson, Ari, Itelman, Edward, Bar-Nur, Yeonatan, Jakobson, Daniel Jorge, Segal, Gad, Agur, Zvia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648491/ https://www.ncbi.nlm.nih.gov/pubmed/36357439 http://dx.doi.org/10.1038/s41598-022-23553-7 |
Ejemplares similares
-
Extracellular inhibitors can attenuate tumorigenic Wnt pathway activity in adenomatous polyposis coli mutants: Predictions of a validated mathematical model
por: Hochman, Gili, et al.
Publicado: (2017) -
The resonance phenomenon in population persistence: can the same theory guide both national security policies and personalized medicine?
por: Agur, Zvia
Publicado: (2014) -
Predicting Outcomes of Prostate Cancer Immunotherapy by Personalized Mathematical Models
por: Kronik, Natalie, et al.
Publicado: (2010) -
Sarcopenia as Manifested by L3SMI Is Associated with Increased Long-Term Mortality amongst Internal Medicine Patients—A Prospective Cohort Study
por: Portal, Doron, et al.
Publicado: (2022) -
Assessing the Usability of a Novel Wearable Remote Patient Monitoring Device for the Early Detection of In-Hospital Patient Deterioration: Observational Study
por: Itelman, Edward, et al.
Publicado: (2022)