Facchinetti A.
61
Coauthors
6
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2014 | 1 |
| 2015 | 1 |
| 2016 | 1 |
| 2017 | 2 |
| 2019 | 1 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Diabetes | 4 |
| Sensor | 1 |
| Red de sensores inalámbricos | 1 |
| Optimización matemática | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Enfermedades | 4 |
| Medicina y salud | 3 |
| Fisiología humana | 2 |
| Ginecología, obstetricia, pediatría, geriatría | 1 |
| Física aplicada | 1 |
| Representaciones escénicas | 1 |
| Ciencias de la computación | 1 |
| Anatomía humana, citología, histología | 1 |
| Salud y seguridad personal | 1 |
| Dirección general | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 6 |
| Google Scholar | 1 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Cobelli C. | 5 |
| Ficο G. | 5 |
| María Teresa Arredondo | 5 |
| Cancela J. | 4 |
| Isabel M.M. | 2 |
| Hernanzez L. | 2 |
| Fabris C. | 2 |
| Sambo F. | 2 |
| Sacchi L. | 2 |
| Dagliati A. | 2 |
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Publicaciones del autor
Can continuous glucose monitoring identify risk factors in type 1 and type 2 diabetes? A literature review
Conference ObjectAbstract: Self-monitoring of blood glucose has been used for many years to control glucose levels in diabeticPalabras claves:Autores:Cancela J., Cobelli C., Facchinetti A., Ficο G., Isabel M.M., María Teresa ArredondoFuentes:scopusParsimonious Description of Glucose Variability in Type 2 Diabetes by Sparse Principal Component Analysis
ArticleAbstract: Background: Abnormal glucose variability (GV) is a risk factor for diabetes complications, and tensPalabras claves:continuous glucose monitoring, glucose variability, type 1 diabetes, Type 2 DiabetesAutores:Cobelli C., Fabris C., Facchinetti A., Ficο G., María Teresa Arredondo, Sambo F.Fuentes:scopusExploring the Frequency Domain of Continuous Glucose Monitoring Signals to Improve Characterization of Glucose Variability and of Diabetic Profiles
ArticleAbstract: Background: Continuous glucose monitoring (CGM) devices measure interstitial glucose concentrationsPalabras claves:continuous glucose monitoring, glucose variability, type 1 diabetes mellitus, Type 2 Diabetes mellitusAutores:Cancela J., Cobelli C., Fabris C., Facchinetti A., Ficο G., Gabriel R., Hernanzez L., Isabel M.M., María Teresa ArredondoFuentes:scopusExpected accuracy of proximal and distal temperature estimated by wireless sensors, in relation to their number and position on the skin
ArticleAbstract: A popular method to estimate proximal/distal temperature (TPROX and TDIST) consists in calculating aPalabras claves:Autores:Amodio P., Bolognesi M., Camila Montesinos-Guevara, Facchinetti A., Garrido M., Longato E., Mani A., Montagnese S., Saccardo D., Sparacino G.Fuentes:googlescopusUser requirements for incorporating diabetes modeling techniques in disease management tools
Conference ObjectAbstract: Type 2 Diabetes Mellitus (T2DM) is the most common form of diabetes. Early identification of peoplePalabras claves:Health Technology Assessment, Type 2 Diabetes modeling, User requirementsAutores:Bellazzi R., Cancela J., Cobelli C., Dagliati A., Facchinetti A., Fernandez-Llatas C., Ficο G., Guillén A., María Teresa Arredondo, Millana A.M., Sacchi L., Sambo F., Segagni D., Traver V., Verdú J.Fuentes:scopus