Matthew Levin

22PUBLICATIONS
118CO-AUTHORS
Epidemiological modellingDeep learningMetabolic medicineData structures and algorithmsContext learning
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Publications (22)

|Feb 26, 2025
Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation.

Kim-Anh-Nhi Nguyen, Dhavalkumar Patel, Masoud Edalati

|Aug 27, 2024
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management.

Dhavalkumar Patel, Prem Timsina, Larisa Gorenstein

|Jun 27, 2024
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation.

Pranai Tandon, Kim-Anh-Nhi Nguyen, Masoud Edalati

|Jun 06, 2024
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system.

Lathan Liou, Erick Scott, Prathamesh Parchure

|Oct 26, 2023
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.

Kim-Anh-Nhi Nguyen, Pranai Tandon, Sahar Ghanavati

|Oct 09, 2023
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.

Akhil Vaid, Ashwin Sawant, Mayte Suarez-Farinas

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Frequent Collaborators

10 joint publications

Robert M Freeman

9 joint publications

Benjamin S Glicksberg

7 joint publications

Girish Nadkami

5 joint publications

Zahi Fayad