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Author Details

Riccardo Miotto
Icahn School of Medicine at Mount Sinai
2013
40
20
Ying Ding (CM4AI)
PMIDPaper TitleJournal TitlePublished Year
36735512Deep Learning in Medicine.Clin J Am Soc Nephrol2023
36735512Deep Learning in Medicine.Clin J Am Soc Nephrol2023
36310683Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation.Cardiovasc Digit Health J2022
36310683Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation.Cardiovasc Digit Health J2022
36448021Predicting hypertension onset from longitudinal electronic health records with deep learning.JAMIA Open2022
36448021Predicting hypertension onset from longitudinal electronic health records with deep learning.JAMIA Open2022
33442560Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.ArXiv2021
33529156Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study.J Med Internet Res2021
33768136Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.IEEE Trans Big Data2021
33442560Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.ArXiv2021
33400679Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.JMIR Med Inform2021
34553174Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records.Patterns (N Y)2021
33768136Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.IEEE Trans Big Data2021
33529156Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study.J Med Internet Res2021
34553174Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records.Patterns (N Y)2021
33400679Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.JMIR Med Inform2021
32130159Identifying Acute Low Back Pain Episodes in Primary Care Practice From Clinical Notes: Observational Study.JMIR Med Inform2020
32138289Sleep in the Natural Environment: A Pilot Study.Sensors (Basel)2020
31797613Scaling structural learning with NO-BEARS to infer causal transcriptome networks.Pac Symp Biocomput2020
32130159Identifying Acute Low Back Pain Episodes in Primary Care Practice From Clinical Notes: Observational Study.JMIR Med Inform2020
32495652Machine Learning in Cardiology-Ensuring Clinical Impact Lives Up to the Hype.J Cardiovasc Pharmacol Ther2020
32817979Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19.medRxiv2020
32594164Coronavirus 2019 and People Living With Human Immunodeficiency Virus: Outcomes for Hospitalized Patients in New York City.Clin Infect Dis2020
32699826Deep representation learning of electronic health records to unlock patient stratification at scale.NPJ Digit Med2020
33247020Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City.BMJ Open2020
33027032Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.J Med Internet Res2020
32511655Clinical Characteristics of Hospitalized Covid-19 Patients in New York City.medRxiv2020
32511564Acute Kidney Injury in Hospitalized Patients with COVID-19.medRxiv2020
31797613Scaling structural learning with NO-BEARS to infer causal transcriptome networks.Pac Symp Biocomput2020
33027032Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.J Med Internet Res2020
33247020Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City.BMJ Open2020
32594164Coronavirus 2019 and People Living With Human Immunodeficiency Virus: Outcomes for Hospitalized Patients in New York City.Clin Infect Dis2020
32817979Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19.medRxiv2020
32699826Deep representation learning of electronic health records to unlock patient stratification at scale.NPJ Digit Med2020
32495652Machine Learning in Cardiology-Ensuring Clinical Impact Lives Up to the Hype.J Cardiovasc Pharmacol Ther2020
32138289Sleep in the Natural Environment: A Pilot Study.Sensors (Basel)2020
32511655Clinical Characteristics of Hospitalized Covid-19 Patients in New York City.medRxiv2020
32511564Acute Kidney Injury in Hospitalized Patients with COVID-19.medRxiv2020
31066697Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review.JMIR Med Inform2019
31214700PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model.Bioinformatics2019
31066697Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review.JMIR Med Inform2019
31214700PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model.Bioinformatics2019
29218877Automated disease cohort selection using word embeddings from Electronic Health Records.Pac Symp Biocomput2018
28481991Deep learning for healthcare: review, opportunities and challenges.Brief Bioinform2018
29036387Uncovering exposures responsible for birth season - disease effects: a global study.J Am Med Inform Assoc2018
29880128Artificial Intelligence in Cardiology.J Am Coll Cardiol2018
30474079Trends in anesthesiology research: a machine learning approach to theme discovery and summarization.JAMIA Open2018
29218877Automated disease cohort selection using word embeddings from Electronic Health Records.Pac Symp Biocomput2018
31304340Reflecting health: smart mirrors for personalized medicine.NPJ Digit Med2018
28200013Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning.Brief Bioinform2018
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Collaborators

Benjamin S Glicksberg
Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai
Co-authored papers 21
Joel T Dudley
Institute for Next Generation Healthcare
Co-authored papers 17
Girish N Nadkarni
Icahn School of Medicine at Mount Sinai
Co-authored papers 12
Kipp W Johnson
Co-authored papers 12
Sulaiman Somani
Icahn School of Medicine at Mount Sinai
Co-authored papers 11
Erwin P Bottinger
Hasso Plattner Institute for Digital Health at Mount Sinai
Co-authored papers 10
Matteo Danieletto
Co-authored papers 9
Zahi A Fayad
Co-authored papers 8
Alexander W Charney
Icahn School of Medicine at Mount Sinai
Co-authored papers 8
Chunhua Weng
Columbia University Irving Medical Center
Co-authored papers 8
Jessica K De Freitas
Icahn School of Medicine at Mount Sinai
Co-authored papers 8
Khader Shameer
School of Public Health, Imperial College London
Co-authored papers 6
Li Li
Co-authored papers 6
Brian A Kidd
Co-authored papers 4
Mary Regina Boland
University of Pennsylvania
Co-authored papers 4
Valentin Fuster
Co-authored papers 4
Nicholas P Tatonetti
Columbia Universtiy College of Physicians and Surgeons
Co-authored papers 4
Allan C Just
Co-authored papers 4
Carol R Horowitz
Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai
Co-authored papers 4
Patricia Kovatch
Co-authored papers 4
Hao-Chih Lee
Co-authored papers 3
Marcus A Badgeley
Co-authored papers 3
Joseph Finkelstein
Co-authored papers 3
Fei Wang
Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute
Co-authored papers 3
Rong Chen
Co-authored papers 3
Eric E Schadt
Icahn School of Medicine at Mount Sinai
Co-authored papers 3
Laura M Huckins
Co-authored papers 3
Marinka Zitnik
Harvard Medical School
Co-authored papers 2
Anthony B Costa
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Jie Xu
University of Florida Gainesville Florida USA.
Co-authored papers 2
Release 1.2