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Kipp W Johnson

Showing results (51-60 of 61) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|August 21, 2020
Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19Akhil Vaid, Suraj K Jaladanki, Jie Xu, et al.
Journal of the American College of Cardiology|June 11, 2020
Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 InfectionAnuradha Lala, Kipp W Johnson, James L Januzzi, et al.
Bioinformatics (Oxford, England)|June 20, 2019
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data modelBenjamin S Glicksberg, Boris Oskotsky, Phyllis M Thangaraj, et al.
JAMA Network Open|January 16, 2019
Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics InitiativeRohit Vashisht, Kenneth Jung, Alejandro Schuler, et al.
Nature Medicine|May 13, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural networkSushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, et al.
Circulation|February 16, 2021
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related StrokeSushravya Raghunath, John M Pfeifer, Alvaro E Ulloa-Cerna, et al.
BMC Medical Genomics|November 6, 2019
Correction to: Integrative analysis of loss-of-function variants in clinical and genomic data reveals novel genes associated with cardiovascular traitsBenjamin S Glicksberg, Letizia Amadori, Nicholas K Akers, et al.
BMC Medical Genomics|July 27, 2019
Integrative analysis of loss-of-function variants in clinical and genomic data reveals novel genes associated with cardiovascular traitsBenjamin S Glicksberg, Letizia Amadori, Nicholas K Akers, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Clinical Characteristics of Hospitalized Covid-19 Patients in New York CityIshan Paranjpe, Adam J Russak, Jessica K De Freitas, et al.
BMJ Open|November 28, 2020
Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York CityIshan Paranjpe, Adam J Russak, Jessica K De Freitas, et al.
Pageof 7

Showing results (51-60 of 61) with videos related to

Sort By:
Pageof 7
Medrxiv : the Preprint Server for Health Sciences|August 21, 2020
Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19Akhil Vaid, Suraj K Jaladanki, Jie Xu, et al.
Journal of the American College of Cardiology|June 11, 2020
Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 InfectionAnuradha Lala, Kipp W Johnson, James L Januzzi, et al.
Bioinformatics (Oxford, England)|June 20, 2019
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data modelBenjamin S Glicksberg, Boris Oskotsky, Phyllis M Thangaraj, et al.
JAMA Network Open|January 16, 2019
Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics InitiativeRohit Vashisht, Kenneth Jung, Alejandro Schuler, et al.
Nature Medicine|May 13, 2020
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural networkSushravya Raghunath, Alvaro E Ulloa Cerna, Linyuan Jing, et al.
Circulation|February 16, 2021
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related StrokeSushravya Raghunath, John M Pfeifer, Alvaro E Ulloa-Cerna, et al.
BMC Medical Genomics|November 6, 2019
Correction to: Integrative analysis of loss-of-function variants in clinical and genomic data reveals novel genes associated with cardiovascular traitsBenjamin S Glicksberg, Letizia Amadori, Nicholas K Akers, et al.
BMC Medical Genomics|July 27, 2019
Integrative analysis of loss-of-function variants in clinical and genomic data reveals novel genes associated with cardiovascular traitsBenjamin S Glicksberg, Letizia Amadori, Nicholas K Akers, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Clinical Characteristics of Hospitalized Covid-19 Patients in New York CityIshan Paranjpe, Adam J Russak, Jessica K De Freitas, et al.
BMJ Open|November 28, 2020
Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York CityIshan Paranjpe, Adam J Russak, Jessica K De Freitas, et al.
Pageof 7