Cargando…
Using real-time machine learning to prevent in-hospital hypoglycemia: a prospective study
Autores principales: | Fralick, Michael, Debnath, Meggie, Pou-Prom, Chloe, O’Brien, Patrick, Perkins, Bruce A., Carson, Esmeralda, Khemani, Fatima, Mamdani, Muhammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651871/ https://www.ncbi.nlm.nih.gov/pubmed/36369632 http://dx.doi.org/10.1007/s11739-022-03148-w |
Ejemplares similares
-
Patient Perspective, Complexities, and Challenges in Managed Care
por: Jan, Saira
Publicado: (2010) -
Atrial Fibrillation and Managed Care: Current Approaches and Future Directions for Long-Term Therapy
por: Sanoski, Cynthia A., et al.
Publicado: (2009) -
From compute to care: Lessons learned from deploying an early warning system into clinical practice
por: Pou-Prom, Chloé, et al.
Publicado: (2022) -
Implementing machine learning in medicine
por: Verma, Amol A., et al.
Publicado: (2021) -
Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration
por: Verma, Amol A., et al.
Publicado: (2023)