Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Carlo Barbieri

Showing results (11-20 of 28) with videos related to

Pageof 3
Sort By:
Kidney Diseases (Basel, Switzerland)|March 30, 2018
Artificial Intelligence for the Artificial Kidney: Pointers to the Future of a Personalized Hemodialysis TherapyMiguel Hueso, Alfredo Vellido, Nuria Montero, et al.
Plos One|January 26, 2016
A New Data Analysis System to Quantify Associations between Biochemical Parameters of Chronic Kidney Disease-Mineral Bone DiseaseMariano Rodriguez, M Dolores Salmeron, Alejandro Martin-Malo, et al.
Computers in Biology and Medicine|April 13, 2015
A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysisCarlo Barbieri, Flavio Mari, Andrea Stopper, et al.
Expert Review of Medical Devices|October 6, 2021
How to assess the risks associated with the usage of a medical device based on predictive modeling: the case of an anemia control model certified as medical deviceCarlo Barbieri, Luca Neri, Milena Chermisi, et al.
Artificial Intelligence in Medicine|June 18, 2013
Computational intelligence for the Balanced Scorecard: studying performance trends of hemodialysis clinicsIsabella Cattinelli, Elena Bolzoni, Milena Chermisi, et al.
Clinical Kidney Journal|July 5, 2021
Predicting mortality in hemodialysis patients using machine learning analysisVictoria Garcia-Montemayor, Alejandro Martin-Malo, Carlo Barbieri, et al.
Nefrologia|June 8, 2018
The anaemia control model: Does it help nephrologists in therapeutic decision-making in the management of anaemia?María Laura Bucalo, Carlo Barbieri, Susana Roca, et al.
Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association|July 4, 2020
Long-term mortality risk associated with citric acid- and acetic acid-based bicarbonate haemodialysis: a historical cohort propensity score-matched study in a large, multicentre, population-based studyLuca Neri, Francesco Bellocchio, Fatih Kircelli, et al.
Plos One|March 4, 2016
Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis PatientsCarlo Barbieri, Elena Bolzoni, Flavio Mari, et al.
Kidney International|June 6, 2016
An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patientsCarlo Barbieri, Manuel Molina, Pedro Ponce, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Kidney Diseases (Basel, Switzerland)|March 30, 2018
Artificial Intelligence for the Artificial Kidney: Pointers to the Future of a Personalized Hemodialysis TherapyMiguel Hueso, Alfredo Vellido, Nuria Montero, et al.
Plos One|January 26, 2016
A New Data Analysis System to Quantify Associations between Biochemical Parameters of Chronic Kidney Disease-Mineral Bone DiseaseMariano Rodriguez, M Dolores Salmeron, Alejandro Martin-Malo, et al.
Computers in Biology and Medicine|April 13, 2015
A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysisCarlo Barbieri, Flavio Mari, Andrea Stopper, et al.
Expert Review of Medical Devices|October 6, 2021
How to assess the risks associated with the usage of a medical device based on predictive modeling: the case of an anemia control model certified as medical deviceCarlo Barbieri, Luca Neri, Milena Chermisi, et al.
Artificial Intelligence in Medicine|June 18, 2013
Computational intelligence for the Balanced Scorecard: studying performance trends of hemodialysis clinicsIsabella Cattinelli, Elena Bolzoni, Milena Chermisi, et al.
Clinical Kidney Journal|July 5, 2021
Predicting mortality in hemodialysis patients using machine learning analysisVictoria Garcia-Montemayor, Alejandro Martin-Malo, Carlo Barbieri, et al.
Nefrologia|June 8, 2018
The anaemia control model: Does it help nephrologists in therapeutic decision-making in the management of anaemia?María Laura Bucalo, Carlo Barbieri, Susana Roca, et al.
Nephrology, Dialysis, Transplantation : Official Publication of the European Dialysis and Transplant Association - European Renal Association|July 4, 2020
Long-term mortality risk associated with citric acid- and acetic acid-based bicarbonate haemodialysis: a historical cohort propensity score-matched study in a large, multicentre, population-based studyLuca Neri, Francesco Bellocchio, Fatih Kircelli, et al.
Plos One|March 4, 2016
Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis PatientsCarlo Barbieri, Elena Bolzoni, Flavio Mari, et al.
Kidney International|June 6, 2016
An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patientsCarlo Barbieri, Manuel Molina, Pedro Ponce, et al.
Pageof 3