Buscar
Mostrando ítems 41-50 de 112
Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques
(Elsevier, 2020-05)
[Abstract]
Early detection is crucial to prevent the progression of Alzheimer’s disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis ...
Data analysis in chemistry and bio-medical sciences
(MPDI, 2016-12-14)
A methodology for the design of experiments in computational intelligence with multiple regression models
(Peer J, 2016-12-01)
[Abstract] The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the ...
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 ...
The use of computers and augmentative and alternative communication devices by children and young with cerebral palsy
(Taylor & Francis, 2011-09-09)
[Abstract] The purpose of the study was to determine the use of computers and assistive devices amongst children with cerebral palsy (CP) and establish the satisfaction level of both users and educational staff. The study ...
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 ...
Mapping networks of anti-HIV drug cocktails vs. AIDS epidemiology in the US counties
(Elsevier, 2014-08-20)
[Abstract] The implementation of the highly active antiretroviral therapy (HAART) and the combination of anti-HIV drugs have resulted in longer survival and a better quality of life for the people infected with the virus. ...
Diagnostic and treatment delay, quality of life and satisfaction with care in colorectal cancer patients: a study protocol
(BioMed Central, 2013-07-11)
[Abstract]
Background. Due to recent improvements in colorectal cancer survival, patient-reported outcomes, including health-related quality of life and satisfaction with care, have become well-established endpoints to ...