Cargando…
Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists
Since the last decade, most of our daily activities have become digital. Digital health takes into account the ever-increasing synergy between advanced medical technologies, innovation, and digital communication. Thanks to machine learning, we are not limited anymore to a descriptive analysis of the...
Autores principales: | Musacchio, Nicoletta, Giancaterini, Annalisa, Guaita, Giacomo, Ozzello, Alessandro, Pellegrini, Maria A, Ponzani, Paola, Russo, Giuseppina T, Zilich, Rita, de Micheli, Alberto |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338925/ https://www.ncbi.nlm.nih.gov/pubmed/32568088 http://dx.doi.org/10.2196/16922 |
Ejemplares similares
-
Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group
por: Masi, Davide, et al.
Publicado: (2023) -
Determinants of good metabolic control without weight gain in type 2 diabetes management: a machine learning analysis
por: Giorda, Carlo Bruno, et al.
Publicado: (2020) -
Transparent machine learning suggests a key driver in the decision to start insulin therapy in individuals with type 2 diabetes
por: Musacchio, Nicoletta, et al.
Publicado: (2023) -
Unlocking the Power of Artificial Intelligence and Big Data in Medicine
por: Lovis, Christian
Publicado: (2019) -
Application of Big Data and Artificial Intelligence technologies to dementia prevention research: an opportunity for low-and-middle-income countries
por: Danso, Samuel O, et al.
Publicado: (2019)