Matthew Levin

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Icahn School of Medicine at Mount Sinai

United States

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Genomics of Vasoplegia

Open Date: 2015-07-01

Close Date: 2017-06-01

Articles (11)

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2024

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2023

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2021

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2020

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2020

Collaborators (5)

Benjamin Glicksberg

Assistant Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

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Evan Leibner

Assistant Professor

Mount Sinai Hospital

UNITED STATES

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Sean Liu

Assistant Professor

Icahn School of Medicine at Mount Sinai

UNITED STATES

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Adi Lahat

ISRAEL

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CHARLES POWELL

Division Chief/Professor of Medicine

Icahn School of Medicine at Mount Sinai

UNITED STATES

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Matthew Levin

Research Interests

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Recent Grants

Articles (11)

Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation

Informative Censoring—A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data

A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and Validation

Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model

The fourth wave: vaccination status and intensive care unit mortality at a large hospital system in New York City

Machine Learning Model for Outcome Prediction of Patients Suffering from Acute Diverticulitis Arriving at the Emergency Department—A Proof of Concept Study

A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality

Rapid response to the alpha-1 adrenergic agent phenylephrine in the perioperative period is impacted by genomics and ancestry

Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study

Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients

MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model

Collaborators (5)

Benjamin Glicksberg

Evan Leibner

Sean Liu

Adi Lahat

CHARLES POWELL

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