ABSTRACT Objective: To propose a preliminary artificial intelligence model, based on artificial neural networks, for predicting the risk of nosocomial infection at intensive care units. Methods: An artificial neural network is designed that employs supervised learning. The generation of the datasets wa...
Objetivo: avaliar o desempenho de uma técnica automática para extração de características dos tipos de tecidos de lesões por pressão por processamento de imagens digitais, embutida em um aplicativo móvel (App) para smartphones. Metodologia: estudo transversal controlado, realizado em 20 imagens d...
RESUMEN Fundamento: el conocimiento de los estilos de aprendizaje de los estudiantes permite incidir positivamente en su rendimiento académico. Objetivo: caracterizar los estilos de aprendizaje de los estudiantes de tercer año de la carrera de Medicina de la Universidad de Ciencias Médicas de Holg...
Abstract Developments in magnetic resonance imaging have expanded its role in the assessment of the female pelvis, including the diagnosis of ovarian lesions. In this setting, diffusion-weighted imaging has proven its diagnostic value, which is particularly important in differentiating between benign and...
Abstract Breast cancer is the most commonly witnessed cancer amongst women around the world. Computer aided diagnosis (CAD) have been playing a significant role in early detection of breast tumors hence to curb the overall mortality rate. This work presents an enhanced empirical study of impact of domina...
RESUMEN Introducción: la neumonía adquirida en la comunidad constituye un importante problema de salud a nivel global. En nuestro país es la cuarta causa de muerte. Los índices pronósticos ayudan a detectar tempranamente los pacientes de alto riesgo, pero estos tienen baja sensibilidad y especific...
Resumen Antecedentes: El infarto agudo de miocardio representa la primera causa de muerte no trasmisible a nivel mundial. Su diagnóstico es una tarea altamente compleja que se ha intentado modelar mediante métodos automáticos. Se expone una revisión sistemática de estudios de pruebas diagnósticas...
SUMMARY OBJECTIVES To evaluate the epidemiological characteristics of acute pancreatitis (AP) and explore potential relationships between these factors and severity. METHODOLOGY Data-sets of 5,659 patients with AP from health statistics and the Information Center of Jiangsu province, between 2014 and...
Sistema del Grupo Sanguíneo ABO,
Enfermedad Aguda,
China/epidemiología,
Minería de Datos/métodos,
Conjuntos de Datos como Asunto,
Sistemas de Información en Salud,
Incidencia,
Persona de Mediana Edad,
Redes Neurales de la Computación,
Pancreatitis/sangre,
Pancreatitis/diagnóstico,
Pancreatitis/epidemiología,
Índice de Severidad de la Enfermedad
ABSTRACT This work presents the methodology, development and testing of an autonomous system, based on Artificial Neural Networks (ANN), for the reduction of technical losses in reticulated underground systems through the optimal control of the capacitor banks (CBs) present in the grid. The proposed meth...
ABSTRACT A computational model for self-recovery of electricity distribution network was developed to simulate it, emulated by the IEEE 123 node model. The electrical system considered has automatic switches capable of identifying a momentary failure in the line and finding the best reconfiguration for i...
