13 documents found, page 1 of 2

Health care professionals and data scientists' perspectives on a machine learni...

Funding Information: The authors are grateful to Vanessa Nicolau and Isabel Andrade for their support and suggestions. Special thanks to all the health care professionals and data scientists who participated in this study. This publication was funded by Funda\u00E7\u00E3o Ci\u00EAncia e Tecnologia, IP national support through the Comprehensive Health Research Center (UIDP/04923/2020). Publisher Copyright: ©Joan...

Facilitators, barriers, and recommendations for the implementation of a digital...

Funding Information: This research was funded by Funda\u00E7\u00E3o para a Ci\u00EAncia e Tecnologia (FCT, Portugal) through national funds to the Associated Laboratory in Translation and Innovation Towards Global Health REAL (LA/P/0117/2020). Publisher Copyright: © The Author(s) 2025.; Background: Population aging has led to an increase in chronic conditions, highlighting the need for new healthcare models. Di...

Machine learning methods, applications and economic analysis to predict heart f...

Funding Information: This research was funded by Funda o para a Ci ncia e Tecnologia (FCT, Portugal) through national funds to the Associated Laboratory in Translation and Innovation Towards Global Health REAL (LA/P/0117/2020). Funding Information: This research was funded by Funda\u00E7\u00E3o para a Ci\u00EAncia e Tecnologia (FCT, Portugal) through national funds to the Associated Laboratory in Translation an...

Machine learning methods, applications and economic analysis to predict heart f...

Funding Information: The present publication was funded by Funda\u00E7\u00E3o Ci\u00EAncia e Tecnologia, IP national support through CHRC (UIDP/04923/2020). Publisher Copyright: © Author(s) (or their employer(s)) 2024.; Introduction Machine learning (ML) has emerged as a powerful tool for uncovering patterns and generating new information. In cardiology, it has shown promising results in predictive outcomes ris...

Translation and psychometric validation of the Heart Failure Symptom Tracker (H...

Funding Information: The present publication was funded by Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia, IP national support through CHRC (UIDP/04923/2020). Publisher Copyright: © The Author(s) 2024.; Background: Heart Failure (HF) is a global public health issue with high morbidity and mortality rates. Symptom management improves HF patients’ quality of life and demonstrates a potential reduction in h...

Decision-making support systems on extended hospital length of stay

Funding Information: This study was funded by Fundação Ciência e Tecnologia, IP national support through CHRC (UIDP/04923/2020). Publisher Copyright: Copyright © 2023 Xavier, Seringa, Pinto and Magalhães.; Background: Cardiovascular diseases are still a significant cause of death and hospitalization. In 2019, circulatory diseases were responsible for 29.9% of deaths in Portugal. These diseases have a significan...

Machine learning prediction of mortality in Acute Myocardial Infarction

Oliveira, M., Seringa, J., Pinto, F. J., Henriques, R., & Magalhães, T. (2023). Machine learning prediction of mortality in Acute Myocardial Infarction. BMC Medical Informatics and Decision Making, 23(1), 1-16. [70]. https://doi.org/10.1186/s12911-023-02168-6. --- The present publication was funded by Fundação Ciência e Tecnologia, IP national support through CHRC (UIDP/04923/2020). The funding body did not pla...

Application of the time-driven activity-based costing methodology to a complex ...

Funding Information: Hugo F. Mendonça Vitor G. Vicente Publisher Copyright: © 2023, The Author(s).; Background: The number of people with chronic diseases has increased globally, as has the number of chronic diseases per person. Faced with this reality, the term “complex patient” is current and actual. The healthcare costs associated with these patients are high and are expected to increase since most healthcar...

A saúde digital em Portugal

Designing an IT system for a Case Management Program