Benjamin Glicksberg
Benjamin Glicksberg
VP Data Science & Machine Learning, Character Biosciences | Adjunct Professor, Icahn School of
Потвърден имейл адрес: mssm.edu
Association of treatment dose anticoagulation with in-hospital survival among hospitalized patients with COVID-19
I Paranjpe, V Fuster, A Lala, AJ Russak, BS Glicksberg, MA Levin, ...
Journal of the American College of Cardiology 76 (1), 122-124, 2020
Federated learning for healthcare informatics
J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang
Journal of healthcare informatics research 5, 1-19, 2021
Artificial intelligence in cardiology
KW Johnson, J Torres Soto, BS Glicksberg, K Shameer, R Miotto, M Ali, ...
Journal of the American College of Cardiology 71 (23), 2668-2679, 2018
AKI in hospitalized patients with COVID-19
L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, S Zhao, I Paranjpe, ...
Journal of the American Society of Nephrology 32 (1), 151-160, 2021
Prevalence and impact of myocardial injury in patients hospitalized with COVID-19 infection
A Lala, KW Johnson, JL Januzzi, AJ Russak, I Paranjpe, F Richter, S Zhao, ...
Journal of the American college of cardiology 76 (5), 533-546, 2020
Identification of type 2 diabetes subgroups through topological analysis of patient similarity
L Li, WY Cheng, BS Glicksberg, O Gottesman, R Tamler, R Chen, ...
Science translational medicine 7 (311), 311ra174-311ra174, 2015
SARS-CoV-2 viral load predicts COVID-19 mortality
E Pujadas, F Chaudhry, R McBride, F Richter, S Zhao, A Wajnberg, ...
The Lancet. Respiratory medicine 8 (9), e70, 2020
Anticoagulation, mortality, bleeding and pathology among patients hospitalized with COVID-19: a single health system study
GN Nadkarni, A Lala, E Bagiella, HL Chang, P Moreno, E Pujadas, ...
J Am Coll Cardiol 76 (16), 1815-1826, 2020
Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
Machine learning in cardiovascular medicine: are we there yet?
K Shameer, KW Johnson, BS Glicksberg, JT Dudley, PP Sengupta
Heart 104 (14), 1156-1164, 2018
Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection
V Ramlall, PM Thangaraj, C Meydan, J Foox, D Butler, J Kim, B May, ...
Nature medicine 26 (10), 1609-1615, 2020
Coronavirus 2019 and people living with human immunodeficiency virus: outcomes for hospitalized patients in New York City
K Sigel, T Swartz, E Golden, I Paranjpe, S Somani, F Richter, ...
Clinical infectious diseases 71 (11), 2933-2938, 2020
A call for deep-learning healthcare
B Norgeot, BS Glicksberg, AJ Butte
Nature medicine 25 (1), 14-15, 2019
Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: model development and validation
A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ...
Journal of medical Internet research 22 (11), e24018, 2020
Prognostic impact of prior heart failure in patients hospitalized with COVID-19
J Alvarez-Garcia, S Lee, A Gupta, M Cagliostro, AA Joshi, ...
Journal of the American College of Cardiology 76 (20), 2334-2348, 2020
Deep learning predicts hip fracture using confounding patient and healthcare variables
MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ...
NPJ digital medicine 2 (1), 31, 2019
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams
K Shameer, MA Badgeley, R Miotto, BS Glicksberg, JW Morgan, ...
Briefings in bioinformatics 18 (1), 105-124, 2017
Federated learning of electronic health records to improve mortality prediction in hospitalized patients with COVID-19: Machine learning approach
A Vaid, SK Jaladanki, J Xu, S Teng, A Kumar, S Lee, S Somani, ...
JMIR medical informatics 9 (1), e24207, 2021
Intestinal host response to SARS-CoV-2 infection and COVID-19 outcomes in patients with gastrointestinal symptoms
AE Livanos, D Jha, F Cossarini, AS Gonzalez-Reiche, M Tokuyama, ...
Gastroenterology 160 (7), 2435-2450. e34, 2021
Deep learning and the electrocardiogram: review of the current state-of-the-art
S Somani, AJ Russak, F Richter, S Zhao, A Vaid, F Chaudhry, ...
EP Europace 23 (8), 1179-1191, 2021
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