Michael Escobar

Professor

University of Toronto

Canada

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Michael Escobar is a Professor at the University of Toronto in Canada. His research primarily focuses on traumatic brain injury, including associated healthcare visits, prediction methodologies, and cognitive outcomes in patients. Recent publications explore advanced statistical models and machine learning techniques to better understand the implications of these injuries. Escobar's work contributes significantly to the fields of healthcare analytics and cognitive neuroscience.

Articles (7)

Year:

2025

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (1)

Tatyana Mollayeva

University Health Network

CANADA

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Michael Escobar

Research Interests

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About

Articles (7)

Characteristics of traumatic brain injury-related healthcare visits across social determinants of health: A population-based birth cohort study

Integrating unsupervised and supervised learning techniques to predict traumatic brain injury: A population-based study

Comparison of Methods for Estimating Temporal Topic Models From Primary Care Clinical Text Data: Retrospective Closed Cohort Study

The Asymmetric Laplace Gaussian (ALG) Distribution as the Descriptive Model for the Internal Proactive Inhibition in the Standard Stop Signal Task

A Bayesian Mixture Modelling of Stop Signal Reaction Time Distributions: The Second Contextual Solution for the Problem of Aftereffects of Inhibition on SSRT Estimations

The Impact of a Comorbid Spinal Cord Injury on Cognitive Outcomes of Male and Female Patients with Traumatic Brain Injury

A Time Series-Based Point Estimation of Stop Signal Reaction Times: More Evidence on the Role of Reactive Inhibition-Proactive Inhibition Interplay on the SSRT Estimations

Collaborators (1)

Tatyana Mollayeva

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