Results 11 to 20 of about 373 (132)

Geologia, Petrografia e Geoquímica do Batólito Seringa, Província Carajás, SSE do Pará

open access: yesBrazilian Journal of Geology, 2011
Resumo: O Granito Seringa, com cerca de 2250 km2 de superfície aflorante, representa o maior batólito da Província Carajás. É intrusivo em unidades arqueanas do Terreno Granito-Greenstone de Rio Maria, sudeste do Cráton Amazônico.
Antonio Lima de Paiva Júnior   +2 more
doaj   +5 more sources

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

open access: yesBMJ Open
Background  Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care.
Joana Seringa   +2 more
doaj   +2 more sources

Decision-making support systems on extended hospital length of stay: Validation and recalibration of a model for patients with AMI [PDF]

open access: yesFrontiers in Medicine, 2023
BackgroundCardiovascular 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 significant impact on the hospital length of stay.
Joana Xavier   +4 more
doaj   +2 more sources

Certificação compulsória e qualidade de agulhas e seringas em um Hospital Sentinela

open access: yesVigilância Sanitária em Debate: Sociedade, Ciência & Tecnologia, 2016
Seringas e agulhas hipodérmicas são produtos para saúde. Além da tramitação do registro junto à Anvisa, é imprescindível realizar a vigilância pós-comercialização para disponibilizar produtos seguros e eficazes no mercado.
Michele Feitoza-Silva   +7 more
doaj   +8 more sources

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

open access: yesBMC Cardiovascular Disorders
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 hospitalisation, particularly among individuals aged
Maria Inês Perez   +2 more
doaj   +2 more sources

Facilitators, barriers, and recommendations for the implementation of a digital-based case management program: the perspective of Portuguese stakeholders [PDF]

open access: yesBMC Health Services Research
Background Population aging has led to an increase in chronic conditions, highlighting the need for new healthcare models. Digital tools can increase accessibility and promote universal healthcare coverage.
Marta Ferreira   +2 more
doaj   +2 more sources

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

open access: yesBMJ Open
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 risk assessment of heart failure (HF) patients, a chronic ...
Joana Seringa   +2 more
doaj   +2 more sources

Machine learning prediction of mortality in Acute Myocardial Infarction [PDF]

open access: yesBMC Medical Informatics and Decision Making, 2023
Background Acute Myocardial Infarction (AMI) is the leading cause of death in Portugal and globally. The present investigation created a model based on machine learning for predictive analysis of mortality in patients with AMI upon admission, using ...
Mariana Oliveira   +4 more
doaj   +2 more sources

Ethical integration of patient-reported outcomes and digital biomarkers in AI healthcare models: an expert consensus framework [PDF]

open access: yesFrontiers in Digital Health
BackgroundAlongside expected benefits, several ethical concerns arise from Artificial Intelligence (AI) based models. From the design to the implementation and subsequent evaluation, it is crucial to map potential ethical concerns regarding the use of AI
Joana Seringa   +3 more
doaj   +2 more sources

Use of Artificial Intelligence tools in supporting decision-making in hospital management [PDF]

open access: yesBMC Health Services Research
Background The use of Artificial Intelligence (AI) tools in hospital management holds potential for enhancing decision-making processes. This study investigates the current state of decision-making in hospital management, explores the potential benefits ...
Maurício Alves   +3 more
doaj   +2 more sources

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