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Umit Tokac

Associate Professor

University of Missouri-St. Louis

United States

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About

Dr. Umit Tokac is an Associate Professor at the University of Missouri-St. Louis, United States. His research focuses on the application of machine learning and natural language processing in healthcare, particularly in predicting resilience and analyzing mental health aspects during the COVID-19 pandemic. His recent publications explore various topics, including the wellbeing of nursing professionals and patient safety culture.

Articles (12)

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2026

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Collaborators (3)

Amanda Cromhout

University of the Western Cape

SOUTH AFRICA

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Petra Brysiewicz

Full professor

University of KwaZulu-Natal

SOUTH AFRICA

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Michael McKeever

Lecturer / EDI Lead / Year 3 Lead

Swansea University

UNITED KINGDOM

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Umit Tokac

Research Interests

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Articles (12)

Enhancing Biostatistics Skills in Online Nursing Education Through the Think-Pair-Share Approach

Using Machine Learning to Predict Resilience Among Nurses in a South African Setting

Using Natural Language Processing in the LACE Index Scoring Tool to Predict Unplanned Trauma and Surgical Readmissions in South Africa.

Mental health and exercise during the COVID-19 pandemic: A Twitter sentiment analysis

Using Machine Learning to Improve Readmission Risk in Surgical Patients in South Africa

A Multisample Path Analysis Including a Novel Psychological Indicator, Attitude Toward Life, After the First Wave of COVID-19.

Factor Structure and Construct Validity of a Hospital Survey on Patient Safety Culture Using Exploratory Factor Analysis.

Public perceptions on Twitter of nurses during the COVID-19 pandemic

Adverse Event Reporting Priorities: An Integrative Review.

Implementing a novel self-care clock strategy as part of a trauma awareness intervention in a university setting.

Determination of Key Inflection Points for Maladaptive Responses in US Nurses During the Pandemic: A Network Analysis.

Nursing professionals' mental well‐being and workplace impairment during the COVID‐19 crisis: A Network analysis

Collaborators (3)

Amanda Cromhout

Petra Brysiewicz

Michael McKeever

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