Results 1 to 10 of about 24,127 (181)

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

BMJ Open
Background  Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care.
Joana Seringa, João Abreu, Teresa Magalhaes   +2 more
doaj   +2 more sources

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

Vigilância 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, Bárbara da Silva Fernandes, Sofia F. R. de Carvalho, Carolina Mesquita de Carvalho, Renata de Freitas Dalavia Vale, Patrícia Fernandes da Silva Nobre, Kátia Christina Leandro, André Luis Gemal   +7 more
doaj   +8 more sources

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

Frontiers 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, Joana Seringa, Fausto José Pinto, Teresa Magalhães, Teresa Magalhães   +4 more
doaj   +2 more sources

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

Brazilian 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, Claudio Nery Lamarão, Paulo Henrique Araújo Lima   +2 more
doaj   +4 more sources

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

BMC 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, Joana Seringa, Rui Santana   +2 more
doaj   +2 more sources

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

BMJ 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, João Abreu, Teresa Magalhaes   +2 more
doaj   +2 more sources

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

BMC 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, Joana Seringa, Teresa Magalhães   +2 more
doaj   +2 more sources

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

BMC 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, Joana Seringa, Fausto José Pinto, Roberto Henriques, Teresa Magalhães   +4 more
doaj   +2 more sources

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

BMC 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, Joana Seringa, Tatiana Silvestre, Teresa Magalhães   +3 more
doaj   +2 more sources

ANÁLISE MICROBIOLOGICA DA AGUÁ DA SERINGA TRIPLICE

UNINGÁ Review, 2015
Nos meios de transmissão de infecção cruzada encontra-se a água utilizada para refrigeração dos equipamentos odontológicos. Com o uso de água contaminada, os riscos aumentam tanto para o Cirurgião-Dentista como para o paciente.
AMANDA THALINNI FRANÇA, RENATO VICTOR DE OLIVEIRA   +1 more
doaj   +1 more source