Listar 1. Investigación por título
Mostrando ítems 8011-8030 de 10713
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Predicción de la respuesta a terapia fotodinámica en pacientes con coriorretinopatía serosa central utilizando inteligencia artificial basada en imágenes de tomografía de coherencia óptica
(2021-12)El objetivo del póster es determinar si mediante el análisis de la OCT macular basal de los pacientes con coriorretinopatía serosa central crónica (CSCc) se puede predecir mediante inteligencia artificial (IA) la ... -
Predicción de la seguridad vial en el Manual de Seguridad Vial norteamericano
(Asociación Española de la Carretera, 2012)[Resumen:] En este artículo se realiza una descripción general del método predictivo de la seguridad vial desarrollado en investigaciones impulsadas por las administraciones de transporte de Estados Unidos de Norteamérica ... -
Predición de preferencia de usuario mediante técnicas de Soft Computing
(2021)[Resumo] O contido desta tese por compendio é a agrupación de tres artigos de investigación publicados en revistas de prestixio, que abordan a necesidade e a forma de mellorar os métodos de predición de preferencia ... -
Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort
(Oxford Academic, 2023-01)[Abstract] Objectives: The IMI-APPROACH knee osteoarthritis study used machine learning (ML) to predict structural and/or pain progression, expressed by a structural (S) and pain (P) predicted-progression score, to select ... -
Predicting changes to macrobenthic communities due to fishing disturbance in a shrimp fishing ground of the Mexican central Pacific
(2002)[Abstract] We test predicted short-term structural changes in the macroinvertebrate assemblages of a shrimp fishing ground in the tropical Mexican Pacific subject to low effort with seasonal closures. During two years, ... -
Predicting pharmaceutical inkjet printing outcomes using machine learning
(Elsevier B.V., 2023)[Abstract]: Inkjet printing has been extensively explored in recent years to produce personalised medicines due to its low cost and versatility. Pharmaceutical applications have ranged from orodispersible films to complex ... -
Predicting rainfall and irrigation requirements of corn in Ecuador
(Elsevier Ltd, 2023-08)[Abstract]: This work is a case study whose objective is prediction of irrigation needs of corn crops in different regions of Ecuador; being this a fundamental basic food for the country's economy, as in the remaining ... -
Predicting vertical urban growth using genetic evolutionary algorithms in Tokyo’s minato ward
(American Society of Civil Engineers, 2018-03)[Abstract] This article explores the use of evolutionary genetic algorithms to predict scenarios of urban vertical growth in large urban centers. Tokyo’s Minato Ward is used as a case study because it has been one of the ... -
Predicting Weathering Indices in Soils Using FTIR Spectra and Random Forest Models
(Elsevier, 2021-05-19)[Abstract] Weathering indices based on the relative proportions of different chemical elements are a useful tool to investigate the degree of weathering of soils. This characterization is missing in West Azerbaijan, northern ... -
Prediction Model for Physical Activity Level in Primary School Students
(MDPI, 2022-03-04)[Abstract] The aim of this study was to provide an explanatory prediction model for physical activity level in children, involving a number of influencing variables. In total, 1971 people participated in the study: 657 ... -
Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning
(MDPI, 2021)[Abstract] The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task in medical applications. For the current paper, Perturbation Theory Machine Learning (PTML) models were built ... -
Prediction of Breast Cancer Proteins Involved in Immunotherapy, Metastasis, and RNA-Binding Using Molecular Descriptors and Artifcial Neural Networks
(Springer Nature, 2020-05-22)[Abstract] Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental determinants are involved. ... -
Prediction of bronchopulmonary dysplasia in very preterm infants: competitive risk model nomogram
(Frontiers, 2024-02-20)[Abstract] Objective: To develop predictive clinical models of bronchopulmonary dysplasia (BPD) through competing risk analysis. Methods: Retrospective observational cohort study, including preterm newborns ≤32 weeks ... -
Prediction of cardiovascular, cancer and non-cardiovascular non-cancer death by exercise echocardiography
(Oxford Academic, 2020-12-01) -
Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy
(BMC, 2024-03-07)[Absctract]: For understanding a chemical compound’s mechanism of action and its side effects, as well as for drug discovery, it is crucial to predict its possible protein targets. This study examines 15 developed ... -
Prediction of daily global solar radiation and air temperature using six machine learning algorithms; a case of 27 European countries
(Elsevier, 2022)[Abstract] The prediction of global solar radiation in a region is of great importance as it provides investors and politicians with more detailed knowledge about the solar resource of that region, which can be very ... -
Prediction of forest fires occurrences with area-level Poisson mixed models
(Academic Press, 2015-05-01)[Abstract] The number of fires in forest areas of Galicia (north-west of Spain) during the summer period is quite high. Local authorities are interested in analyzing the factors that explain this phenomenon. Poisson ... -
Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection
(Nature, 2018-10-24)[Abstract] Screening and in silico modeling are critical activities for the reduction of experimental costs. They also speed up research notably and strengthen the theoretical framework, thus allowing researchers to ... -
Prediction of insulin therapy in women with gestational diabetes: a systematic review and meta-analysis of observational studies
(De Gruyter, 2022-03-22)[Abstract] Objectives: To identify antenatal risk factors that may predict the need for insulin treatment upon diagnosis of gestational diabetes (GDM), that is, to identify the specific characteristics of women diagnosed ... -
Prediction of missing sequences and branch lengths in phylogenomic data
(Oxford University Press, 2016-01-05)[Abstract] Motivation: The presence of missing data in large-scale phylogenomic datasets has negative effects on the phylogenetic inference process. One effect that is caused by alignments with missing per-gene or per-partition ...