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Author Details

Arianna Dagliati
University of Pavia
2005
39
12
PMIDPaper TitleJournal TitlePublished Year
36738870Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?J Biomed Inform2023
37316101Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.Artif Intell Med2023
36738870Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?J Biomed Inform2023
37490472A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.PLOS Digit Health2023
37490472A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.PLOS Digit Health2023
37316101Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.Artif Intell Med2023
35768548International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.NPJ Digit Med2022
35768548International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.NPJ Digit Med2022
35738646Changes 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.BMJ Open2022
35677768A Process Mining Pipeline to Characterize COVID-19 Patients' Trajectories and Identify Relevant Temporal Phenotypes From EHR Data.Front Public Health2022
35738646Changes 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.BMJ Open2022
35677768A Process Mining Pipeline to Characterize COVID-19 Patients' Trajectories and Identify Relevant Temporal Phenotypes From EHR Data.Front Public Health2022
33454728Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview.Brief Bioinform2021
33969178Sex and APOE genotype differences related to statin use in the aging population.Alzheimers Dement (N Y)2021
33857200OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry.PLoS One2021
33454728Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview.Brief Bioinform2021
33564777International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study.medRxiv2021
34889759Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study.J Med Internet Res2021
33564777International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study.medRxiv2021
33857200OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry.PLoS One2021
34889759Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study.J Med Internet Res2021
33969178Sex and APOE genotype differences related to statin use in the aging population.Alzheimers Dement (N Y)2021
32475078Latent 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.Arthritis Rheumatol2020
31790148The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination.Bioinformatics2020
32475078Latent 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.Arthritis Rheumatol2020
32695678Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools.Front Oncol2020
32972659Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records.Artif Intell Med2020
32631121Pride and prejudice - What can we learn from peer review?Med Teach2020
32505422Mining post-surgical care processes in breast cancer patients.Artif Intell Med2020
31790148The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination.Bioinformatics2020
32972659Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records.Artif Intell Med2020
32631121Pride and prejudice - What can we learn from peer review?Med Teach2020
32695678Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools.Front Oncol2020
32505422Mining post-surgical care processes in breast cancer patients.Artif Intell Med2020
31419982What 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.BMC Med Inform Decis Mak2019
31438056A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis.Stud Health Technol Inform2019
31419982What 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.BMC Med Inform Decis Mak2019
31438056A Dashboard for Latent Class Trajectory Modeling: Application in Rheumatoid Arthritis.Stud Health Technol Inform2019
29409033A dashboard-based system for supporting diabetes care.J Am Med Inform Assoc2018
28494618Machine Learning Methods to Predict Diabetes Complications.J Diabetes Sci Technol2018
29911415Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients.Diab Vasc Dis Res2018
29555443Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis.J Biomed Inform2018
29633857Smartphone-Based Self-Management of Non-Insulin-Dependent Diabetes: A Japanese System at Use by an Italian Patients' Cohort.J Diabetes Sci Technol2018
29409033A dashboard-based system for supporting diabetes care.J Am Med Inform Assoc2018
29493360Careflow Mining Techniques to Explore Type 2 Diabetes Evolution.J Diabetes Sci Technol2018
29911415Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients.Diab Vasc Dis Res2018
28494618Machine Learning Methods to Predict Diabetes Complications.J Diabetes Sci Technol2018
29555443Incorporating repeating temporal association rules in Naïve Bayes classifiers for coronary heart disease diagnosis.J Biomed Inform2018
29633857Smartphone-Based Self-Management of Non-Insulin-Dependent Diabetes: A Japanese System at Use by an Italian Patients' Cohort.J Diabetes Sci Technol2018
29493360Careflow Mining Techniques to Explore Type 2 Diabetes Evolution.J Diabetes Sci Technol2018
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Collaborators

Riccardo Bellazzi
University of Pavia
Co-authored papers 31
Valentina Tibollo
Istituti Clinici Scientifici Maugeri SpA SB, IRCCS, Institute of Pavia (Pavia)
Co-authored papers 19
Luca Chiovato
University of Pavia
Co-authored papers 15
John H Holmes
University of Pennsylvania Perelman School of Medicine
Co-authored papers 9
Alberto Malovini
IRCCS Istituti Clinici Scientifici Maugeri
Co-authored papers 8
Shawn N Murphy
Harvard Medical School
Co-authored papers 6
Gilbert S Omenn
and School of Public Health, University of Michigan ann arbor
Co-authored papers 6
Zongqi Xia
University of Pittsburgh
Co-authored papers 6
Shyam Visweswaran
University of Pittsburgh
Co-authored papers 6
Chuan Hong
Harvard Medical School, USA Duke University
Co-authored papers 5
Griffin M Weber
Harvard Medical School
Co-authored papers 5
David A Hanauer
University of Michigan ann arbor
Co-authored papers 5
Alba Guti??rrez-Sacrist??n
Harvard Medical School
Co-authored papers 5
Alberto Zambelli
IRCCS Humanitas Research Hospital
Co-authored papers 5
Gabriel A Brat
Beth Israel Deaconess Medical Center (BIDMC), Harvard Medical School
Co-authored papers 5
Paul Avillach
Harvard Medical School
Co-authored papers 4
Tianxi Cai
Harvard T.H. Chan School of Public Health
Co-authored papers 4
Bertrand Moal
Co-authored papers 4
Danielle L Mowery
Institute for Biomedical Informatics, University of Pennsylvania
Co-authored papers 4
Harrison G Zhang
Co-authored papers 4
Andrew M South
Wake Forest University School of Medicine
Co-authored papers 4
Antoine Neuraz
INSERM UMR 3, Universite Paris Cite, Imagine Institute
Co-authored papers 4
Kavishwar B Wagholikar
Massachusetts General Hospital
Co-authored papers 4
Kee Yuan Ngiam
Yong Loo Lin School of Medicine, National University of Singapore
Co-authored papers 4
Isaac S Kohane
Harvard Medical School
Co-authored papers 4
Jeffrey G Klann
Massachusetts General Hospital
Co-authored papers 4
Hossein Estiri
Co-authored papers 4
Michele Morris
University of Pittsburgh
Co-authored papers 4
Vincent Benoit
Universite de Paris, Imagine Institute, INSERM UMR 1163
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Lorenzo Chiudinelli
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Release 1.2