A5023391391- Breastfeeding Practices and Influences
- Anomaly Detection Techniques and Applications
- Emergency and Acute Care Studies
- Time Series Analysis and Forecasting
- Health disparities and outcomes
- Infant Nutrition and Health
- Public Health in Brazil
- Sleep and Work-Related Fatigue
- Pituitary Gland Disorders and Treatments
- Pediatric health and respiratory diseases
- Myasthenia Gravis and Thymoma
- Healthcare Regulation
- Child Nutrition and Water Access
- Mobile Health and mHealth Applications
- Meningioma and schwannoma management
- Infant Development and Preterm Care
- Health, Education, and Aging
- Neuroscience of respiration and sleep
- Health and Lifestyle Studies
- Acute Myocardial Infarction Research
- Data Stream Mining Techniques
- Healthcare during COVID-19 Pandemic
- Maternal and Neonatal Healthcare
- Health, Nursing, Elderly Care
- Cardiac Arrest and Resuscitation
Hospital Padre Américo
2017
Universidade da Região de Joinville
2004-2011
Background: Worldwide strategies have been conducted in order to guarantee longer periods of exclusive breastfeeding for most children, especially those from developing countries. The evaluation infant feeding practices and the identification weaning risk factors are essential public health policy planning. Methods: This cross-sectional study was carried out Joinville, biggest city Santa Catarina State southern Brazilian region. caregivers children under 1 year age were systematically...
In view of the importance anticipating occurrence critical situations in medicine, we propose use a fuzzy expert system to predict need for advanced neonatal resuscitation efforts delivery room. This relates maternal medical, obstetric and characteristics clinical conditions newborn, providing risk measurement measures. It is structured as composition developed on basis subjective perception danger nine neonatologists facing 61 antenatal intrapartum which provide degree association with...
OBJETIVOS: identificar a prevalência do aleitamento materno exclusivo entre lactentes atendidos na rede pública municipal e sua associação com variáveis maternas lactente. MÉTODOS: estudo transversal realizado durante Campanha Nacional de Vacinação em 2005, Joinville, Santa Catarina, Brasil. Foi aplicado um questionário aos acompanhantes 889 menores ano idade nos postos vacinação incluindo aspectos maternos Para análise, utilizou-se estatística descritiva o teste qui-quadrado, nível...
Background: Cardiovascular diseases are the leading cause of death worldwide. The search for safe solutions to ensure priority in healthcare patients with severe conditions, such as acute coronary syndrome, is a determining factor prognosis. Objective: To evaluate syndrome undergoing Manchester triage system applied by nurses. Methods: Retrospective observational study based on review medical reports admitted between October 2010 and April 2012 public hospital cardiology Joinville, Brazil....
O objetivo deste estudo foi estimar a prevalencia de excesso peso em motoristas onibus da rede urbana Joinville-SC, bem como identificar possiveis fatores associados. A coleta dados realizada nos periodos matutino, vespertino e noturno, no periodo junho novembro 2009, nas dependencias quatro dos cinco pontos terminais cidade. Dos 379 pertencentes ao quadro transporte coletivo urbano, 306 (80,7%) compuseram efetivamente amostra. maior (73,2%) parte voluntarios classificada peso,...
Estudo exploratório para verificar a utilização da colostroterapia em recém-nascidos de muito baixo peso, unidade neonatal maternidade médio porte, por meio avaliação prontuários. Dos 108 prontuários avaliados, 56,5% dos neonatos eram do sexo feminino, com média peso e idade gestacional ao nascimento 1091,9 g (DP=263,7g) 29 semanas/2dias (DP=2semanas/6dias), respectivamente. A foi utilizada 25,9% pacientes, sendo que 96,4% casos administração via oral. O uso terapia colostral associado...
SoftED metrics introduce a soft evaluation of event detection methods in time series, incorporating fuzzy logic concepts to provide temporal tolerance detections. However, these face challenges associating detections with events, especially cases multiple associations between and events. In this work, we propose structuring association problem within the graph theory paradigm, approaching it as bipartite matching problem. For this, Hungarian algorithm is employed solve The results...