Cargando…
Machine Learning in Medical Emergencies: a Systematic Review and Analysis
Despite the increasing demand for artificial intelligence research in medicine, the functionalities of his methods in health emergency remain unclear. Therefore, the authors have conducted this systematic review and a global overview study which aims to identify, analyse, and evaluate the research a...
Autores principales: | Mendo, Inés Robles, Marques, Gonçalo, de la Torre Díez, Isabel, López-Coronado, Miguel, Martín-Rodríguez, Francisco |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374032/ https://www.ncbi.nlm.nih.gov/pubmed/34410512 http://dx.doi.org/10.1007/s10916-021-01762-3 |
Ejemplares similares
-
Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review
por: Castillo-Sánchez, Gema, et al.
Publicado: (2020) -
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests
por: Roland, Theresa, et al.
Publicado: (2022) -
Mobile Health Apps for Medical Emergencies: Systematic Review
por: Plaza Roncero, Alejandro, et al.
Publicado: (2020) -
Comparison of Machine Learning Algorithms in the Prediction of Hospitalized Patients with Schizophrenia
por: Góngora Alonso, Susel, et al.
Publicado: (2022) -
Novel Prehospital Phenotypes and Outcomes in Adult-Patients with Acute Disease
por: Martín-Rodríguez, Francisco, et al.
Publicado: (2022)