Artificial intelligence in predicting, determining and controlling cell phenotype or tissue function in inflammatory dis...
Published in Frontiers in Immunology
Artificial intelligence in predicting, determining and controlling cell phenotype or tissue function in inflammatory dis...
Common hematological and biochemical parameters for predicting urinary tract infections in geriatric patients with hip f...
Published in Frontiers in Medicine
Background This study aims to discern the significance of common hematological and biochemical parameters for predicting urinary tract infections in geriatric patients with hip fractures. Methods Multivariable logistic regression and propensity score-matched analyses were conducted to calculate adjusted odds ratios (ORs) and 95% confidence interval...
Predicting the recurrence of spontaneous intracerebral hemorrhage using a machine learning model
Published in Frontiers in Neurology
Background Recurrence can worsen conditions and increase mortality in ICH patients. Predicting the recurrence risk and preventing or treating these patients is a rational strategy to improve outcomes potentially. A machine learning model with improved performance is necessary to predict recurrence. Methods We collected data from ICH patients in two...
Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
Published in Journal of Intelligent Systems
The quality of the output produced by the multi-layer perceptron neural network depends on the careful selection of its weights and biases. The gradient descent technique is commonly used for choosing MLP’s optimal configuration, but it can suffer from being stuck in local optima and slow convergence toward promising regions in the search space. In...
Predicting persisting disability in musculoskeletal pain patients with the STarT MSK screening tool: Results from a pros...
Published in Musculoskeletal care
The STarT MSK screening tool aims to categorise musculoskeletal patients into three risk groups for treatment stratification. The tool has been translated and validated into Hebrew. However, its ability to predict persistent disability in patients has yet to be evaluated. The primary aim of this study was to assess the ability of the Hebrew version...
Predicting vegetation dynamics in Deux Balé National Park, Burkina Faso, using land change modeler
Published in Environmental Research Communications
In recent years, the natural vegetation of Burkina Faso has undergone unprecedented anthropisation. To date, most studies have focused only on diachronic analysis based on satellite imagery. Land use dynamics studies give an account of the past and present situation, but do not provide quantitative and qualitative information on the future of this ...
Investigating the effectiveness of protection motivation theory in predicting behaviors relating to natural disasters, i...
Published in Frontiers in Public Health
Background Disasters can lead to large human casualties, destruction of property and economic and environmental resources. The purpose of the present study was to answer the question whether the Protection Motivation Theory (PMT) is effective in predicting behaviors related to the harmful effects of natural disasters in the households of southern I...
Reciprocal Teaching as a Cognitive and Metacognitive Strategy in Promoting Saudi University Students’ Reading Comprehens...
Published in Open Education Studies
Reciprocal teaching (RT) involves collaborative dialogue between the teacher and students, with the aim of jointly constructing the meaning from a shared text. This study employs RT as a cognitive and metacognitive set of strategies for enhancing students’ reading comprehension and monitoring skills. Thirty-four students were assigned to the RT gro...
Johansen model for photovoltaic a very short term prediction to electrical power grids in the Island of Mauritius
Sudden variability in solar photovoltaic (PV) power output to electrical grid can not only cause grid instability but can also affect power and frequency quality. Therefore, to study the balance of electrical grid or micro-grid power generated by PV systems in an upstream direction, predicting models can help. The power output conversion is directl...
The Capability of ChatGPT in Predicting and Explaining Common Drug-Drug Interactions
Published in Cureus
Background Drug-drug interactions (DDIs) can have serious consequences for patient health and well-being. Patients who are taking multiple medications may be at an increased risk of experiencing adverse events or drug toxicity if they are not aware of potential interactions between their medications. Many times, patients self-prescribe medications ...
