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Mostrando ítems 1-10 de 14
Net-net Auto machine learning (AutoML) prediction of complex ecosystems
(Nature, 2018-08-17)
[Abstract] Biological Ecosystem Networks (BENs) are webs of biological species (nodes) establishing trophic relationships (links). Experimental confirmation of all possible links is difficult and generates a huge volume ...
A generalized linear model for cardiovascular complications prediction in PD patients
(ACM, 2018)
[Abstract] This study was conducted using machine learning models to identify patient non-invasive information for cardiovascular complications prediction in peritoneal dialysis patients. Nowadays is well known that ...
Technologies for participatory medicine and health promotion in the elderly population
(Wolters Kluwer, 2018-05-18)
[Abstract] Introduction: The progressive aging of the population is a socio-demographic phenomenon experienced by most countries in the world in recent decades, especially in Japan and in many European Union countries. ...
Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis
(Nature, 2018-11-12)
[Abstract] Consensus strategy was proved to be highly efficient in the recognition of gene-disease association. Therefore, the main objective of this study was to apply theoretical approaches to explore genes and communities ...
Valorando la efectividad e impacto de los productos de apoyo
(Ediciones Universidad de Salamanca, 2018)
Redesign and performance of an automatic segmentation method
(MDPI, 2018-09-05)
[Resumen] La información más relevante de las angiografías coronarias se extrae empleando técnicas de segmentación, que pueden ser automáticas, semiautomáticas o manuales. Existen numerosos algoritmos de segmentación ...
Ocupaciones y niños con autismo: investigando sobre las tecnologías de la información y las comunicaciones como apoyos en el día a día
(Asociación Española de Profesionales del Austismo (AETAPI), 2018)
Determining the burden of the family caregivers of people with neuromuscular diseases who use a wheelchair
(Wolters Kluwer Health, 2018-06)
[Abstract]
The present study provides a basic outline of the care and support that family caregivers offer to people affected by neuromuscular diseases.
To determine the presence of burden in caregivers of people ...
Estudio sobre nivel de independencia y necesidad de recursos de apoyo en una población con enfermedades neuromusculares
(Centro Español de Documentación sobre Discapacidad (CEDD), 2018-12-20)
[Resumen] Objetivos: obtener un perfil sobre capacidad funcional y participación de personas con Enfermedades Neuromusculares (ENM), y determinar los recursos de apoyo necesarios para mejorar o mantener su grado de ...
Perturbation theory/machine learning model of ChEMBL data for dopamine targets: docking, synthesis, and assay of new l-prolyl-l-leucyl-glycinamide peptidomimetics
(American Chemical Society, 2018-05-23)
[Abstract] Predicting drug–protein interactions (DPIs) for target proteins involved in dopamine pathways is a very important goal in medicinal chemistry. We can tackle this problem using Molecular Docking or Machine Learning ...