Bellazzi, Riccardo

Predictive data mining in clinical medicine: Current issues and guidelines

BELLAZZI, R., & ZUPAN, B. (2008) · International Journal of Medical Informatics

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 823

Machine Learning Methods to Predict Diabetes Complications

Dagliati, A., Marini, S., Sacchi, L., Cogni, G., Teliti, M., Tibollo, V., De Cata, P., Chiovato, L., & Bellazzi, R. (2018) · Journal of Diabetes Science and Technology

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 407

Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools

Nicora, G., Vitali, F., Dagliati, A., Geifman, N., & Bellazzi, R. (2020) · Frontiers in Oncology

Bioinformatics and Genomic NetworksCancer Genomics and Diagnostics

Cited by 284

Big Data and Biomedical Informatics: A Challenging Opportunity

Bellazzi, R. (2014) · Yearbook of Medical Informatics

Big Data Technologies and ApplicationsArtificial Intelligence in Healthcare

Cited by 184

What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask

Kohane, I. S., Aronow, B. J., Avillach, P., Beaulieu-Jones, B. K., Bellazzi, R., Bradford, R. L., Brat, G. A., Cannataro, M., Cimino, J. J., García-Barrio, N., et al. (2021) · Journal of Medical Internet Research

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 113

Trusting telemedicine: A discussion on risks, safety, legal implications and liability of involved stakeholders

Parimbelli, E., Bottalico, B., Losiouk, E., Tomasi, M., Santosuosso, A., Lanzola, G., Quaglini, S., & Bellazzi, R. (2018) · International Journal of Medical Informatics

Telemedicine and Telehealth ImplementationMedical Malpractice and Liability Issues

Cited by 110

Protein biomarkers for the prediction of cardiovascular disease in type 2 diabetes

on behalf of the SUMMIT Investigators, Looker, H. C., Colombo, M., Agakov, F., Zeller, T., Groop, L., Thorand, B., Palmer, C. N., Hamsten, A., de Faire, U., et al. (2015) · Diabetologia

Diabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic Diseases

Cited by 66

A Dynamic Bayesian Network model for long-term simulation of clinical complications in type 1 diabetes

Marini, S., Trifoglio, E., Barbarini, N., Sambo, F., Di Camillo, B., Malovini, A., Manfrini, M., Cobelli, C., & Bellazzi, R. (2015) · Journal of Biomedical Informatics

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 61

Meta-Analysis of the Effect of the Use of Computer-Based Systems on the Metabolic Control of Patients with Diabetes Mellitus

Montani, S., Bellazzi, R., Quaglini, S., & D'Annunzio, G. (2001) · Diabetes Technology & Therapeutics

Diabetes Management and ResearchDiabetes Management and Education

Cited by 49

SCOR: A secure international informatics infrastructure to investigate COVID-19

Raisaro, J. L., Marino, F., Troncoso-Pastoriza, J., Beau-Lejdstrom, R., Bellazzi, R., Murphy, R., Bernstam, E. V., Wang, H., Bucalo, M., Chen, Y., et al. (2020) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataCOVID-19 Digital Contact Tracing

Cited by 40

Going Mobile with a Multiaccess Service for the Management of Diabetic Patients

Lanzola, G., Capozzi, D., D'Annunzio, G., Ferrari, P., Bellazzi, R., & Larizza, C. (2007) · Journal of Diabetes Science and Technology

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 26

What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project

Fico, G., Hernanzez, L., Cancela, J., Dagliati, A., Sacchi, L., Martinez-Millana, A., Posada, J., Manero, L., Verdú, J., Facchinetti, A., et al. (2019) · BMC Medical Informatics and Decision Making

Electronic Health Records SystemsTechnology and Human Factors in Education and Health

Cited by 22