A. Dagliati

发表

R. Bellazzi, A. Dagliati, L. Sacchi, 2015, Journal of diabetes science and technology.

Careflow Mining Techniques to Explore Type 2 Diabetes Evolution

Riccardo Bellazzi, Arianna Dagliati, Valentina Tibollo, 2018, Journal of diabetes science and technology.

Informative Missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Harrison G. Zhang, G. Omenn, K. Ngiam, 2022, medRxiv.

A Process Mining Pipeline to Characterize COVID-19 Patients' Trajectories and Identify Relevant Temporal Phenotypes From EHR Data

R. Bellazzi, L. Chiovato, A. Malovini, 2022, Frontiers in Public Health.

Risk-Associated Temporal Clinical pathways in T2D Patients_FINAL

R. Bellazzi, L. Chiovato, S. Curti, 2014 .

Mining Careflows of Breast Cancer Patients

R. Bellazzi, A. Zambelli, A. Dagliati, 2014 .

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, npj Digital Medicine.

Latent Class Trajectory Modeling of 2‐Component Disease Activity Score in 28 Joints Identifies Multiple Rheumatoid Arthritis Phenotypes of Response to Biologic Disease‐Modifying Antirheumatic Drugs

A. Barton, N. Peek, J. Isaacs, 2020, Arthritis & rheumatology.

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients

Florence T. Bourgeois, Jeffrey G. Klann, Harrison G. Zhang, 2022, npj Digital Medicine.

Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2

Brett K. Beaulieu-Jones, Florence T. Bourgeois, Robert W. Follett, 2022, BMJ Open.

Sex and APOE genotype differences related to statin use in the aging population

N. Peek, N. Geifman, A. Dagliati, 2020, Alzheimer's & dementia.

Evaluation of XAI on ALS 6-months mortality prediction

G. Nicora, A. Dagliati, Enea Parimbelli, 2022, CLEF.

International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: a 4CE Consortium Study (Preprint)

Jeffrey G. Klann, Robert W. Follett, Darren W. Henderson, 2021 .

Latent class trajectory modelling of 2-components-DAS28 identifies multiple rheumatoid arthritis phenotypes of response to biologic disease modifying anti-rheumatic drugs.

N. Peek, J. Isaacs, A. Morgan, 2021 .

Template for preparation of papers for IEEE sponsored conferences & symposia

Riccardo Bellazzi, Arianna Dagliati, Valentina Tibollo, 2011, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analyzing complex patients' temporal histories: new frontiers in temporal data mining.

Riccardo Bellazzi, Arianna Dagliati, Lucia Sacchi, 2015, Methods in molecular biology.

Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series

Vicente Traver, Carlos Fernández-Llatas, José-Miguel Benedí, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

EPMA-World Congress 2015

N. V. Chirkova, Rostyslav V Bubnov, Y. Benjamini, 2016, EPMA Journal.

A 3 Disaster response : an opportunity to improve global healthcare

Ottaviano, L. Groop, C. Cobelli, 2016 .

The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination

Nophar Geifman, Arianna Dagliati, Davide Chiasserini, 2019, Bioinform..

Pride and prejudice – What can we learn from peer review?

I. Buchan, T. Dornan, A. Whetton, 2020, Medical teacher.

An ICT infrastructure to integrate clinical and molecular data in oncology research

R. Bellazzi, S. Priori, V. Tibollo, 2012, BMC Bioinformatics.

An ICT infrastructure to integrate clinical and molecular data in oncology research

Riccardo Bellazzi, Arianna Dagliati, Valentina Tibollo, 2012, BMC Bioinformatics.

OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry

N. Peek, A. Whetton, P. Kalra, 2021, PloS one.

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

Francesca Vitali, Nophar Geifman, Arianna Dagliati, 2020, Frontiers in Oncology.

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2021, Scientific Reports.

Evolving phenotypes of non-hospitalized patients that indicate long COVID

Jason W. Moore, Brett K. Beaulieu-Jones, Tiago K. Colicchio, 2021, BMC Medicine.

International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study

Jeffrey G. Klann, Robert W. Follett, Darren W. Henderson, 2021, Journal of medical Internet research.

Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, JAMA network open.

Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis

Elpida T. Keravnou, Riccardo Bellazzi, Athena Stassopoulou, 2018, J. Biomed. Informatics.

Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview

R. Bellazzi, A. Malovini, V. Tibollo, 2021, Briefings Bioinform..

A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis

Nophar Geifman, Niels Peek, Arianna Dagliati, 2019, MedInfo.

Machine Learning Methods to Predict Diabetes Complications

Riccardo Bellazzi, Arianna Dagliati, Lucia Sacchi, 2018, Journal of diabetes science and technology.

Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients

Riccardo Bellazzi, Arianna Dagliati, Valentina Tibollo, 2018, Diabetes & vascular disease research.

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study

Jason W. Moore, Brett K. Beaulieu-Jones, Florence T. Bourgeois, 2022, eClinicalMedicine.

Clinical and research data integration: the i2b2-FSM experience.

Riccardo Bellazzi, Arianna Dagliati, Valentina Tibollo, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Mining post-surgical care processes in breast cancer patients

Nophar Geifman, John H. Holmes, Niels Peek, 2020, Artif. Intell. Medicine.

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

Manuel Ottaviano, Claudio Cobelli, Vicente Traver, 2019, BMC Medical Informatics and Decision Making.

Generating and Comparing Knowledge Graphs of Medical Processes Using pMineR

Mauro Vallati, Carlos Fernández-Llatas, Berardino De Bari, 2017, K-CAP.

pMineR: An Innovative R Library for Performing Process Mining in Medicine

Mauro Vallati, Carlos Fernández-Llatas, Berardino De Bari, 2017, AIME.

Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review

Sara C. Madeira, R. Bellazzi, B. Di Camillo, 2023, Artif. Intell. Medicine.

Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective

Riccardo Bellazzi, Andrea Mazzanti, Matteo Gabetta, 2018, Front. Digit. Humanit..