Riccardo Miotto

Scopus Author ID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Machine Learning

Coronavirus Disease

Electronic Health Record

Convolutional Neural Network

Top Venues

Clinical journal of the American Society of Nephrology : CJASN

JMIR medical informatics

Journal of medical Internet research

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology

This page only lists publications with an associated author ORCID identifier.

Publications

Samuel P Heilbroner, Riccardo Miotto
Deep Learning in Medicine. Clinical journal of the American Society of Nephrology : CJASN 18 (3) (2023)
Samuel P Heilbroner, Riccardo Miotto
Deep Learning in Medicine. Clinical journal of the American Society of Nephrology : CJASN 18 (3) (2023)
Samuel P Heilbroner, Riccardo Miotto
Deep Learning in Medicine. Clinical journal of the American Society of Nephrology : CJASN (2023)
Samuel P Heilbroner, Riccardo Miotto
Deep Learning in Medicine. Clinical journal of the American Society of Nephrology : CJASN 18 (3) (2023)
Sulaiman S Somani, Adam J Russak, Felix Richter, Shan P Zhao, Akhil Vaid, Fayzan Chaudhry, Jessica K De Freitas, Nidhi Naik, Riccardo Miotto, Girish N Nadkarni, Jagat Narula, Edgar Argulian, Benjamin Scott Glicksberg
Deep learning and the electrocardiogram: review of the current state-of-the-art. Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology 23 (8) (2021)
Akhil Vaid, Suraj K Jaladanki, Jie Xu, Shelly Teng, Arvind Kumar, Samuel J Lee, Sulaiman S Somani, Ishan Paranjpe, Jessica K De Freitas, Tingyi Wanyan, Kipp W Johnson, Mesude Bicak, Eyal Klang, Young Joon Fred Kwon, Anthony Beardsworth Costa, Shan P Zhao, Riccardo Miotto, Alexander W Charney, Erwin P Böttinger, Zahi Adel Fayad, Girish Nitin Nadkarni, Fei Wang, Benjamin Scott Glicksberg
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach. JMIR medical informatics 9 (1) (2021)
Robert P Hirten, Matteo Danieletto, Lewis E Tomalin, Katie Hyewon Choi, Micol Zweig, Eddye A Golden, Sparshdeep Kaur, Drew S Helmus, Anthony Biello, Renata Pyzik, Alexander W Charney, Riccardo Miotto, Benjamin Scott Glicksberg, Matthew A Levin, Ismail Nabeel, Judith A Aberg, David L Reich, Dennis S Charney, Erwin P Böttinger, Laurie Keefer, Mayte Suárez-Fariñas, Girish Nitin Nadkarni, Zahi Adel Fayad
Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study. Journal of medical Internet research 23 (2) (2021)
Akhil Vaid, Sulaiman S Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan P Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish D Paranjpe, Eddye A Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura M Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M Freeman, Edgar Argulian, Andrew Kasarskis, Bethany L Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Böttinger, Matthew A Levin, Jagat Narula, Zahi Adel Fayad, Allan Carpenter Just, Alexander W Charney, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. Journal of medical Internet research 22 (11) (2020)
Tingyi Wanyan, Akhil Vaid, Jessica K De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N Nadkarni, Ariful Azad, Ying Ding, Benjamin Scott Glicksberg
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE transactions on big data 7 (1) (2020)
Riccardo Miotto, Bethany L Percha, Benjamin Scott Glicksberg, Hao-Chih Lee, Lisanne Cruz, Joel T Dudley, Ismail Nabeel
Identifying Acute Low Back Pain Episodes in Primary Care Practice From Clinical Notes: Observational Study. JMIR medical informatics 8 (2) (2020)
Isotta Landi, Benjamin Scott Glicksberg, Hao-Chih Lee, Sarah Cherng, Giulia Landi, Matteo Danieletto, Joel T Dudley, Cesare Furlanello, Riccardo Miotto
Deep representation learning of electronic health records to unlock patient stratification at scale. NPJ digital medicine 3 (2020)
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. JMIR medical informatics 7 (2) (2019)