AIMC Topic: Humans

Clear Filters Showing 571 to 580 of 95995 articles

Development and validation of a machine learning model to predict moderate-to-severe cancer-related fatigue in breast cancer.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
PURPOSE: This study aimed to establish and validate a machine learning model for predicting moderate-to-severe cancer-related fatigue (CRF) 2 years after completion of anti-tumor therapy in breast cancer patients.

Evaluating corticokinematic coherence using electroencephalography and human pose estimation.

Biomedical physics & engineering express
While peripheral mechanisms of proprioception are well understood, the cortical processing of its feedback during dynamic and complex movements remains less clear. Corticokinematic coherence (CKC), which quantifies the coupling between limb movements...

Biased sampling driven by bacterial population structure confounds machine learning prediction of antimicrobial resistance.

PLoS biology
Antimicrobial resistance (AMR) poses a growing threat to human health. Increasingly, genome sequencing is being applied for the surveillance of bacterial pathogens, producing a wealth of data to train machine learning (ML) applications to predict AMR...

Classification of current density vector map using transformer hybrid residual network.

PloS one
The classification of the current density vector map (CDVM) reconstructed from magnetocardiogram (MCG) is an important indicator for assessing cardiac function and state in clinical diagnosis. Given the limited widespread application of MCG, research...

SEANN: A domain-informed neural network for epidemiological insights.

PloS one
In epidemiology, traditional statistical methods such as logistic regression, linear regression, and other parametric models are commonly employed to investigate associations between predictors and health outcomes. However, non-parametric machine lea...

Vehicle driving area detection and sensor data preprocessing based on deep learning.

PloS one
With the rapid development of intelligent vehicles, it has become particularly important to effectively detect the environment of the vehicle's driving area. A vehicle driving road recognition algorithm on the basis of an improved bilateral segmentat...

Diagnostic performance of four AI tools in pharmacology MCQs: Accuracy, sensitivity, and specificity.

PloS one
BACKGROUND: The rapid rise of AI in medical and pharmaceutical education has engendered much interest; however, a knowledge gap still exists in the evaluation of performances of these tools in critical academic contexts.

PERMA-guided multi-topology graph neural networks for cross-cultural student well-being prediction.

PloS one
Student well-being prediction is of great significance for promoting personalized education and preventing mental health problems, but existing methods suffer from limitations including lack of psychological theory guidance, neglect of student relati...

Predicting and explaining life satisfaction among older adults using tree-based ensemble models and SHAP: Evidence from the digital divide survey.

PloS one
As digital transformation continues to penetrate various sectors of society, the issue of the digital divide has become increasingly prominent. Against the backdrop of accelerating population aging, the barriers that older adults face in accessing an...

Exploring the mechanism of autophagy and inflammation in osteoarthritis through bioinformatics and experimental verification.

Autoimmunity
Osteoarthritis (OA) is a chronic joint disorder characterized by cartilage degradation and accompanied by inflammatory processes. Inflammation and autophagy dysfunction have been associated with the pathogenesis of OA. However, the interplay between ...