Dara Meyer
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View article: Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations
Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations Open
View article: Rare schizophrenia risk variant burden is conserved in diverse human populations
Rare schizophrenia risk variant burden is conserved in diverse human populations Open
Schizophrenia is a chronic mental illness that is amongst the most debilitating conditions encountered in medical practice. A recent landmark schizophrenia study of the protein-coding regions of the genome identified a causal role for ten …
View article: Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City
Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City Open
Objective The COVID-19 pandemic is a global public health crisis, with over 33 million cases and 999 000 deaths worldwide. Data are needed regarding the clinical course of hospitalised patients, particularly in the USA. We aimed to compare…
View article: Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation Open
Background COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients.…
View article: 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)
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) Open
BACKGROUND COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients…
View article: Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients
Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients Open
Coronavirus 2019 (COVID-19), caused by the SARS-CoV-2 virus, has become the deadliest pandemic in modern history, reaching nearly every country worldwide and overwhelming healthcare institutions. As of April 20, there have been more than 2…
View article: Clinical Characteristics of Hospitalized Covid-19 Patients in New York City
Clinical Characteristics of Hospitalized Covid-19 Patients in New York City Open
Background The coronavirus 2019 (Covid-19) pandemic is a global public health crisis, with over 1.6 million cases and 95,000 deaths worldwide. Data are needed regarding the clinical course of hospitalized patients, particularly in the Unit…