A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...

Introduction Cervical cancer screening is a critical preventive measure to reduce the burden of cervical cancer. Yet, ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

Introduction Caesarean section rates have increased globally, exceeding the WHO’s recommended threshold of 15%. Understanding ...

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...

Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...

Step selection functions are a useful tool for analysing fine-scale human movements to understand environmental interactions in the context of infectious disease epidemiology.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Abstract: This research paper addresses the pressing issue of air quality monitoring and prediction using machine learning algorithms. With a dataset comprising pollutant levels from various states, ...