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Author Details

Matteo Danieletto
2013
19
10
PMIDPaper TitleJournal TitlePublished Year
37143859A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort.JAMIA Open2023
35787512StudyU: A Platform for Designing and Conducting Innovative Digital N-of-1 Trials.J Med Internet Res2022
35677186Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers.JAMIA Open2022
34379602Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data.J Med Internet Res2021
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
33872189A Resilience-Building App to Support the Mental Health of Health Care Workers in the COVID-19 Era: Design Process, Distribution, and Evaluation.JMIR Form Res2021
33763080Predicting Lyme Disease From Patients' Peripheral Blood Mononuclear Cells Profiled With RNA-Sequencing.Front Immunol2021
32705439Wearable Devices Are Well Accepted by Patients in the Study and Management of Inflammatory Bowel Disease: A Survey Study.Dig Dis Sci2021
33382065Longitudinal Autonomic Nervous System Measures Correlate With Stress and Ulcerative Colitis Disease Activity and Predict Flare.Inflamm Bowel Dis2021
32511564Acute Kidney Injury in Hospitalized Patients with COVID-19.medRxiv2020
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
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
31411691Satellite images and machine learning can identify remote communities to facilitate access to health services.Journal of the American Medical Informatics Association : JAMIA2019
31304340Reflecting health: smart mirrors for personalized medicine.NPJ Digit Med2018
24451454RAZOR: a compression and classification solution for the Internet of Things.Sensors2013
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Girish N Nadkarni
Icahn School of Medicine at Mount Sinai
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Erwin P Bottinger
Hasso Plattner Institute for Digital Health at Mount Sinai
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Riccardo Miotto
Icahn School of Medicine at Mount Sinai
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Zahi A Fayad
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Benjamin S Glicksberg
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Robert Hirten
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Joel T Dudley
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Alexander W Charney
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Carol R Horowitz
Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai
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Sulaiman Somani
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Valentin Fuster
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Allan C Just
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Patricia Kovatch
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Joseph Finkelstein
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Bruce E Sands
Icahn School of Medicine at Mount Sinai
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Jessica K De Freitas
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Laura M Huckins
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Kipp W Johnson
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Jenny Sauk
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Eric E Schadt
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Allison Bailey
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Lili Chan
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Jiayi Ji
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Ron Do
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Alison W Rebman
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Ruth J F Loos
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John Cijiang He
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