Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,701 to 1,710 of 6,954 articles

Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees.

Scientific reports
Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images creates significant challenges in clinical research. The improper classification of these images leads towards higher complexity in classification process... read more 

Research on early warning model of coal spontaneous combustion based on interpretability.

Scientific reports
Predicting the temperature of the coal spontaneous combustion (CSC) is essential for preventing and managing coal mine fires. In this paper, a Rough Set-Stacking-SHapley Additive Explanations (RS-Stacking-SHAP) prediction model of CSC based on grid s... read more 

Using physics-informed derivative networks to solve the forward problem of a free-convective boundary layer problem.

Scientific reports
Physics-informed neural networks (PINNs) have become powerful tools for solving various nonlinear differential equations. Although several PINN-based approaches have been widely applied to some types of boundary layer problem, certain complex paramet... read more 

Personalized prediction of gait freezing using dynamic mode decomposition.

Scientific reports
Freezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson's disease. The ability to predict the onset of FoG episodes early on allows for timely intervention, which is essential for improving the life quality of pati... read more 

Improving ACS prediction in T2DM patients by addressing false records in electronic medical records using propensity score.

Scientific reports
Our study aims to improve the prediction performance of machine learning (ML) models by addressing false records (i.e., false positive, false negative, or missingness) in binary categorical variables in electronic medical records (EMRs) using propens... read more 

Event recognition technology and short-term rockburst early warning model based on microseismic monitoring and ensemble learning.

Scientific reports
Rockbursts are a significant geological hazard in deep underground engineering, and accurate short-term risk prediction can mitigate safety risks to personnel and equipment. However, challenges remain in the intelligent processing of microseismic(MS)... read more 

Classification of Indian classical dances using MnasNet architecture with advanced polar fox optimization for hyperparameter optimization.

Scientific reports
Indian classical dances represent a significant aspect of the nation's cultural heritage, with each dance form characterized by its distinct style, posture, and movement. The automatic classification and recognition of these dances present considerab... read more 

Drug-drug interaction prediction of traditional Chinese medicine based on graph attention networks.

Scientific reports
Predicting drug-drug interactions (DDI) is crucial for preventing adverse reactions in patients and plays a vital role in drug design and development. However, traditional Chinese medicine (TCM) formulations, typically composed of multiple herbal ing... read more 

A novel deep learning framework with artificial protozoa optimization-based adaptive environmental response for wind power prediction.

Scientific reports
Accurate very short-term wind power forecasting is critical for the reliable integration of renewable energy into modern power systems. However, the inherent variability and non-linearity of wind power data pose significant challenges. To address the... read more 

Enhancing Security in CPS Industry 5.0 using Lightweight MobileNetV3 with Adaptive Optimization Technique.

Scientific reports
Advanced Cyber-Physical Systems (CPS) that facilitate seamless communication between humans, machines, and objects are revolutionizing industrial automation as part of Industry 5.0, which is being driven by technologies such as IIoT, cloud computing,... read more