Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Riccardo Miotto"'
Autor:
Hossein Honarvar, PhD, Chirag Agarwal, PhD, Sulaiman Somani, MD, Akhil Vaid, MD, Joshua Lampert, MD, Tingyi Wanyan, PhD, Vivek Y. Reddy, MD, Girish N. Nadkarni, MD, Riccardo Miotto, PhD, Marinka Zitnik, PhD, Fei Wang, PhD, Benjamin S. Glicksberg, PhD
Publikováno v:
Cardiovascular Digital Health Journal, Vol 3, Iss 5, Pp 220-231 (2022)
Background: Electrocardiogram (ECG) deep learning (DL) has promise to improve the outcomes of patients with cardiovascular abnormalities. In ECG DL, researchers often use convolutional neural networks (CNNs) and traditionally use the full duration of
Externí odkaz:
https://doaj.org/article/7106b3c922994d84a741ddc460870603
Autor:
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-11 (2020)
Abstract Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. However, challenges in summarizing and representing patient data prevent widespread practice of scalable EHR-based stratificatio
Externí odkaz:
https://doaj.org/article/a3c812cf99b140a5b237ea6ab049acf1
Autor:
Girish N Nadkarni, Zahi A Fayad, Benjamin S Glicksberg, David L Reich, Prem Timsina, Arash Kia, Patricia Kovatch, Jessica K De Freitas, Paul O’Reilly, Allan Just, Dennis Charney, Ishan Paranjpe, Ross O'Hagan, Adam J Russak, Anuradha Lala, Riccardo Miotto, Akhil Vaid, Kipp W Johnson, Matteo Danieletto, Eddye Golden, Dara Meyer, Manbir Singh, Sulaiman Somani, Arjun Kapoor, Sayan Manna, Udit Nangia, Suraj K Jaladanki, Laura M Huckins, Patricia Glowe, Robert M Freeman, Matthew A Levin, Jeffrey Jhang, Adolfo Firpo, Joseph Finkelstein, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, V Fuster, Carlos Cordon-Cardo, Erwin P Bottinger, Alexander W Charney
Publikováno v:
BMJ Open, Vol 10, Iss 11 (2020)
Objective The COVID-19 pandemic is a global public health crisis, with over 33 million cases and 999 000 deaths worldwide. Data are needed regarding the clinical course of hospitalised patients, particularly in the USA. We aimed to compare clinical c
Externí odkaz:
https://doaj.org/article/49d3bda439074873861d39f10d7bca65
Autor:
Fayzan F. Chaudhry, Matteo Danieletto, Eddye Golden, Jerome Scelza, Greg Botwin, Mark Shervey, Jessica K. De Freitas, Ishan Paranjpe, Girish N. Nadkarni, Riccardo Miotto, Patricia Glowe, Greg Stock, Bethany Percha, Noah Zimmerman, Joel T. Dudley, Benjamin S. Glicksberg
Publikováno v:
Sensors, Vol 20, Iss 5, p 1378 (2020)
Sleep quality has been directly linked to cognitive function, quality of life, and a variety of serious diseases across many clinical domains. Standard methods for assessing sleep involve overnight studies in hospital settings, which are uncomfortabl
Externí odkaz:
https://doaj.org/article/1ac6ad6ac9a349cfa8ceceb06bfb0202
Autor:
Samuel P. Heilbroner, Riccardo Miotto
Publikováno v:
Clinical Journal of the American Society of Nephrology. 18:397-399
Autor:
Erwin Boettinger, Martin Meier, Mathias Weske, Luise Pufahl, Finn Klessascheck, Simon Remy, Riccardo Miotto, Tom Lichtenstein, Jan Philipp Sachs
Publikováno v:
BIS
Process mining aims at deriving process knowledge from event logs, which contain data recorded during process executions. Typically, event logs need to be generated from process execution data, stored in different kinds of information systems. In com
Autor:
Suparno Datta, Ariane Morassi Sasso, Nina Kiwit, Subhronil Bose, Girish Nadkarni, Riccardo Miotto, Erwin P Böttinger
Publikováno v:
JAMIA open. 5(4)
Objective Hypertension has long been recognized as one of the most important predisposing factors for cardiovascular diseases and mortality. In recent years, machine learning methods have shown potential in diagnostic and predictive approaches in chr
Autor:
Riccardo Miotto, Benjamin S. Glicksberg, Lili Chan, Allan C. Just, Felix Richter, Anuradha Lala, Valentin Fuster, Girish N. Nadkarni, Arash Kia, Carlos Cordon-Cardo, Akhil Vaid, Alexander W. Charney, Aparna Saha, Robert Freeman, Sulaiman Somani, Prem Timsina, Eric E. Schadt, Barbara Murphy, John Cijiang He, Ishan Paranjpe, David Reich, Kumardeep Chaudhary, Matthew A. Levin, Shan Zhao, Jagat Narula, Steven G. Coca, Rong Chen, Erwin P. Bottinger, Li Li, Kinsuk Chauhan, Carol R. Horowitz, Zahi A. Fayad
Publikováno v:
Journal of the American Society of Nephrology. 32:151-160
Background Early reports indicate that AKI is common among patients with coronavirus disease 2019 (COVID-19) and associated with worse outcomes. However, AKI among hospitalized patients with COVID-19 in the United States is not well described. Method
Autor:
Sarah T. Cherng, Riccardo Miotto, Benjamin S. Glicksberg, Cesare Furlanello, Hao-Chih Lee, Matteo Danieletto, Giulia Landi, Isotta Landi, Joel T. Dudley
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-11 (2020)
NPJ Digital Medicine
NPJ Digital Medicine
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. However, challenges in summarizing and representing patient data prevent widespread practice of scalable EHR-based stratification analysi