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Author Details

Patricia Kovatch
2015
26
12
PMIDPaper TitleJournal TitlePublished Year
37812781Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.Ann Intern Med2023
35092685Using sequence clustering to identify clinically relevant subphenotypes in patients with COVID-19 admitted to the intensive care unit.J Am Med Inform Assoc2022
35958514Quantitative chest computed tomography combined with plasma cytokines predict outcomes in COVID-19 patients.Heliyon2022
35942057Multiethnic Investigation of Risk and Immune Determinants of COVID-19 Outcomes.Frontiers in Cellular and Infection Microbiology2022
35667835Automated Determination of Left Ventricular Function Using Electrocardiogram Data in Patients on Maintenance Hemodialysis.Clin J Am Soc Nephrol2022
35350196Multi-ethnic Investigation of Risk and Immune Determinants of COVID-19 Outcomes.2022
36513729Autoencoders for sample size estimation for fully connected neural network classifiers.NPJ Digit Med2022
34669512Functional Effects of Cardiomyocyte Injury in COVID-19.J Virol2022
34671777Quantitative chest CT combined with plasma cytokines predict outcomes in COVID-19 patients.medRxiv2021
35602223Analysis of sex-specific risk factors and clinical outcomes in COVID-19.2021
33593377Correction to: The NYCKidSeq project: study protocol for a randomized controlled trial incorporating genomics into the clinical care of diverse New York City children.Trials2021
33531665GUÍA: a digital platform to facilitate result disclosure in genetic counseling.Genet Med2021
33446240The NYCKidSeq project: study protocol for a randomized controlled trial incorporating genomics into the clinical care of diverse New York City children.Trials2021
34341802Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City.medRxiv2021
33109676Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records.BMJ Open2020
33200140Physiology of cardiomyocyte injury in COVID-19.medRxiv2020
33247020Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City.BMJ Open2020
33088611Optimizing High-Performance Computing Systems for Biomedical Workloads.2020
33027032Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.J Med Internet Res2020
32511655Clinical Characteristics of Hospitalized Covid-19 Patients in New York City.medRxiv2020
32511562An inflammatory cytokine signature helps predict COVID-19 severity and death.medRxiv2020
32839624An inflammatory cytokine signature predicts COVID-19 severity and survival.Nat Med2020
30255805Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.BMC Med Inform Decis Mak2018
28134706Big and disparate data: considerations for pediatric consortia.Curr Opin Pediatr2017
27896982PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.Pac Symp Biocomput2017
30788464Big Omics Data Experience.2015
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