J. D. De Freitas

发表

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.

Exploring the Potential for Collaborative Use of an App-Based Platform for n-of-1 Trials Among Healthcare Professionals That Treat Patients With Insomnia

Jessica K De Freitas, Jason R. Bobe, B. Glicksberg, 2020, Frontiers in Psychiatry.

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

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

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.

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.

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.

Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection

Jessica K De Freitas, Phyllis M. Thangaraj, C. Mason, 2020, Nature 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.

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.

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.

Experimental and real-world evidence supporting the computational repurposing of bumetanide for APOE4-related Alzheimer’s disease

Fayzan F. Chaudhry, Jessica K De Freitas, K. Zalocusky, 2021, Nature Aging.

Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City

Kipp W. Johnson, Jessica K De Freitas, Benjamin S. Glicksberg, 2020, BMJ Open.

Clinical Characteristics of Hospitalized Covid-19 Patients in New York City

Kipp W. Johnson, Jessica K De Freitas, A. Just, 2020, medRxiv.

WRN regulates pathway choice between classical and alternative non-homologous end joining

Jessica K De Freitas, V. Bohr, D. Croteau, 2016, Nature Communications.

Contrastive learning improves critical event prediction in COVID-19 patients

Jessica K De Freitas, Zhangyang Wang, M. Zitnik, 2021, Patterns.

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit

Riccardo Miotto, Tingyi Wanyan, Akhil Vaid, 2020, IEEE Transactions on Big Data.

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 .

Derivation and Validation of Genome‐Wide Polygenic Score for Ischemic Heart Failure

Jessica K De Freitas, R. Do, S. Damrauer, 2021, Journal of the American Heart Association.

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

V. Fuster, Z. Fayad, D. Mancini, 2020, medRxiv.

Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records

Jessica K De Freitas, Benjamin S. Glicksberg, A. Just, 2020, BMJ Open.

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.

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.

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.

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.

Identification of Immune complement function as a determinant of adverse SARS-CoV-2 infection outcome

Jessica K De Freitas, Phyllis M. Thangaraj, Benjamin S. Glicksberg, 2020, medRxiv.

Immune complement and coagulation dysfunction in adverse outcomes of SARS-CoV-2 infection

Benjamin S. Glicksberg, N. Tatonetti, D. Butler, 2020, Nature Medicine.

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 .