Teresa Magalhaes

Professor Auxiliar

Universidade de Aveiro

Portugal

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About

Teresa Magalhaes is an Auxiliar Professor at Universidade Nova de Lisboa, Portugal. Her research focuses on machine learning applications in healthcare, health management, and the integration of information technology in nursing practice. Recent publications include scoping reviews on heart failure hospitalization prediction and the use of artificial intelligence in hospital management. She is also involved in exploring telemedicine approaches for mental health and the assessment of nursing competencies.

Articles (12)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

Collaborators (4)

Rui Santana

Universidade Nova de Lisboa Escola Nacional de Saúde Pública

PORTUGAL

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Henk Nies

University of Amsterdam

NETHERLANDS

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Pedro Ricardo Martins Bernardes Lucas

Coordinator Professor

Escola Superior de Enfermagem de Coimbra

PORTUGAL

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Mónica Costa

Professora Assistente a tempo parcial até 2021 | Professora Adjunta a tempo parcial até 2022 |Professora Adjunta a tempo integral desde 18/09/2022

Instituto Politécnico de Lisboa Escola Superior de Tecnologia da Saúde de Lisboa

PORTUGAL

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Teresa Magalhaes

Research Interests

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About

Articles (12)

Information Technology in Nursing Practice: A Scoping Review of Assessment Tools for Evaluating Nurses’ Competencies

Health Care Professionals and Data Scientists’ Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Qualitative Interview Study

Defining Health Management

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Telemedicine as an Approach to the Mental Health of Healthcare Workers in Angola

The Integration of Information Technology in the Management and Organization of Nursing Care in a Hospital Environment: A Scoping Review

Translation and psychometric validation of the Heart Failure Symptom Tracker (HFaST)

Use of artificial intelligence tools in supporting decision-making in hospital management

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk

Health professionals' perception of the use of speech recognition technology in healthcare

Machine learning prediction of mortality in Acute Myocardial Infarction

Decision-making support systems on extended hospital length of stay

Collaborators (4)

Rui Santana

Henk Nies

Pedro Ricardo Martins Bernardes Lucas

Mónica Costa

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