Shan P Zhao

发表

Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection

Kipp W. Johnson, Fayzan F. Chaudhry, Jessica K De Freitas, 2020, Journal of the American College of Cardiology.

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Kipp W. Johnson, Fayzan F. Chaudhry, Jessica K De Freitas, 2020, Journal of Medical Internet Research.

SARS-CoV-2 viral load predicts COVID-19 mortality

Fayzan F. Chaudhry, Benjamin S. Glicksberg, C. Cordon-Cardo, 2020, The Lancet Respiratory Medicine.

Machine Learning in Cardiology—Ensuring Clinical Impact Lives Up to the Hype

Riccardo Miotto, Kipp W. Johnson, Fayzan F. Chaudhry, 2020, Journal of cardiovascular pharmacology and therapeutics.

Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

Kipp W. Johnson, Jessica K De Freitas, Benjamin S. Glicksberg, 2020, JMIR medical informatics.

Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach (Preprint)

Kipp W. Johnson, Jessica K De Freitas, E. Klang, 2020 .

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

Riccardo Miotto, Tingyi Wanyan, Kipp W. Johnson, 2020, medRxiv.

AKI in Hospitalized Patients with COVID-19.

Benjamin S. Glicksberg, A. Just, V. Fuster, 2020, Journal of the American Society of Nephrology : JASN.

Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19

Benjamin S. Glicksberg, V. Fuster, C. Cordon-Cardo, 2020, Journal of the American College of Cardiology.

Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19

Benjamin S. Glicksberg, V. Fuster, C. Cordon-Cardo, 2020, Journal of the American College of Cardiology.

Association of Treatment Dose Anticoagulation With In-Hospital Survival Among Hospitalized Patients With COVID-19

V. Fuster, Z. Fayad, B. Glicksberg, 2020, Journal of the American College of Cardiology.

Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients

Riccardo Miotto, Kipp W. Johnson, Fayzan F. Chaudhry, 2020, medRxiv.

Covid-19 and People with HIV Infection: Outcomes for Hospitalized Patients in New York City.

Jessica K De Freitas, Benjamin S. Glicksberg, P. Polak, 2020, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

Coronavirus 2019 and People Living With Human Immunodeficiency Virus: Outcomes for Hospitalized Patients in New York City

Jessica K De Freitas, Benjamin S. Glicksberg, P. Polak, 2020, Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America.

Monitoring of COVID-19-Associated Coagulopathy and Anticoagulation with Thromboelastometry

Shan Zhao, Klaus Görlinger, D. Katz, 2021, Transfusion Medicine and Hemotherapy.

Deep learning and the electrocardiogram: review of the current state-of-the-art

Fayzan F. Chaudhry, Jessica K De Freitas, Benjamin S. Glicksberg, 2021, 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.

Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection

Benjamin S. Glicksberg, E. Kenigsberg, M. Merad, 2023, Research square.

Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening

Jessica K De Freitas, E. Argulian, B. Glicksberg, 2021, European heart journal. Digital health.

Using deep learning algorithms to simultaneously identify right and left ventricular dysfunction from the electrocardiogram.

Marcus A. Badgeley, Kipp W. Johnson, Benjamin S. Glicksberg, 2021, medRxiv.

Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization for COVID-19

Jessica K De Freitas, Benjamin S. Glicksberg, A. Just, 2020, Journal of General Internal Medicine.

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19.

Kipp W. Johnson, Jessica K De Freitas, Benjamin S. Glicksberg, 2020, JMIR medical informatics.

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Joseph Finkelstein, Riccardo Miotto, Kipp W. Johnson, 2020, Journal of medical Internet research.

Development and validation of techniques for phenotyping ST-elevation myocardial infarction encounters from electronic health records

Benjamin S. Glicksberg, G. Nadkarni, Shan Zhao, 2021, JAMIA open.

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation (Preprint)

Kipp W. Johnson, Judy H. Cho, A. Just, 2020 .

Outcomes of Patients on Maintenance Dialysis Hospitalized with COVID-19.

Benjamin S. Glicksberg, Z. Fayad, E. Bottinger, 2020, Clinical journal of the American Society of Nephrology : CJASN.

Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection

Benjamin S. Glicksberg, E. Kenigsberg, N. Beckmann, 2023, Communications medicine.

Association between perioperative hypothermia and surgical site infection

W. Gao, E. Zhao, Yuan Gao, 2019, Medicine.

Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization For COVID-19

Jessica K De Freitas, A. Just, V. Fuster, 2020, medRxiv.

Real-time Machine Learning Alerts to Prevent Escalation of Care: A Pragmatic Clinical Trial

E. Klang, P. Timsina, A. Kia, 2022, medRxiv.

Acute Kidney Injury in Hospitalized Patients with COVID-19

Benjamin S. Glicksberg, A. Just, M. Danieletto, 2020, medRxiv.

Development of a machine learning model using electrocardiogram signals to 1 improve acute pulmonary embolism screening 2

E. Argulian, J. K. D. Freitas, I. Landi, 2021 .