Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients: A Cohort Study (Preprint)

Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury

(2020) Yingxia Liu et al.   Science China-Life Sciences

Role of Data Registries in the Time of COVID-19

(2020) Heather M. Alger et al.  

Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis

(2020) Brandon Michael Henry et al.   CLINICAL CHEMISTRY AND LABORATORY MEDICINE

Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020

(2020) Kenji Mizumoto et al.   Eurosurveillance

Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

(2020) Qiurong Ruan et al.   INTENSIVE CARE MEDICINE

Coronavirus Disease 2019 (COVID-19) in Italy

(2020) Edward Livingston et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy

(2020) Graziano Onder et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Cardiac and arrhythmic complications in patients with COVID‐19

(2020) Adriano Nunes Kochi et al.   JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY

AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data

(2020) K. C. Santosh   JOURNAL OF MEDICAL SYSTEMS

Clinical characteristics of 3,062 COVID-19 patients: a meta-analysis

(2020) Jieyun Zhu et al.   JOURNAL OF MEDICAL VIROLOGY

Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage

(2020) Jingyuan Liu et al.   Journal of Translational Medicine

SARS-CoV-2 and viral sepsis: observations and hypotheses

(2020) Hui Li et al.   LANCET

Real-time tracking of self-reported symptoms to predict potential COVID-19

(2020) Cristina Menni et al.   NATURE MEDICINE

Coagulopathy and Antiphospholipid Antibodies in Patients with Covid-19

(2020) Yan Zhang et al.   NEW ENGLAND JOURNAL OF MEDICINE

Development and validation a nomogram for predicting the risk of severe COVID-19: A multi-center study in Sichuan, China

(2020) Yiwu Zhou et al.   PLoS One

Plasma CRP level is positively associated with the severity of COVID-19

(2020) Wei Chen et al.   Annals of Clinical Microbiology and Antimicrobials

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

(2020) Laure Wynants et al.   BMJ-British Medical Journal

Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study

(2020) Christopher M Petrilli et al.   BMJ-British Medical Journal

Management of acute kidney injury in patients with COVID-19

(2020) Claudio Ronco et al.   Lancet Respiratory Medicine

Are patients with hypertension and diabetes mellitus at increased risk for COVID-19 infection?

(2020) Lei Fang et al.   Lancet Respiratory Medicine

Association of Cardiac Injury With Mortality in Hospitalized Patients With COVID-19 in Wuhan, China

(2020) Shaobo Shi et al.   JAMA Cardiology

COVID-19 in diabetic patients: Related risks and specifics of management

(2020) Laura Orioli et al.   ANNALES D ENDOCRINOLOGIE

Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19

(2020) Fang Liu et al.   JOURNAL OF CLINICAL VIROLOGY

Incidence of thrombotic complications in critically ill ICU patients with COVID-19

(2020) F.A. Klok et al.   THROMBOSIS RESEARCH

Early triage of critically ill COVID-19 patients using deep learning

(2020) Wenhua Liang et al.   Nature Communications

Fatal Outcomes of COVID-19 in Patients with Severe Acute Kidney Injury

(2020) Jeong-Hoon Lim et al.   Journal of Clinical Medicine

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

(2015) Gary S. Collins et al.   EUROPEAN UROLOGY