Latest AI and machine learning research in prevention for healthcare professionals.
Postprandial hyperglycemia, marked by the blood glucose level exceeding the normal range after meals, is a critical indicator of progression toward type 2 diabetes in prediabetic and healthy individuals. A key metric for understanding blood glucose dynamics after eating is the postprandial area under the curve (PAUC). Predicting PAUC in advance based on a person's diet and activity level and exp...
In the realm of Intelligent Tutoring System (ITS), the accurate assessment of students' knowledge states through Knowledge Tracing (KT) is crucial for personalized learning. However, due to data bias, $\textit{i.e.}$, the unbalanced distribution of question groups ($\textit{e.g.}$, concepts), conventional KT models are plagued by cognitive bias, which tends to result in cognitive underload for o...
Chronic diseases such as obesity and hypertension due to malnutrition can be prevented by following the appropriate diet, correct diet intake with cor...
Maintaining a balanced diet is essential for overall health, yet many individuals struggle with meal planning due to nutritional complexity, time co...
Dietary intake data are routinely drawn upon to explore diet-health relationships, and inform clinical practice and public health. However, these data...
Grading student assignments in STEM courses is a laborious and repetitive task for tutors, often requiring a week to assess an entire class. For stu...
This study presents a unified deep learning (DL) framework, MultiFlowSeg, for classification and segmentation of velocity-encoded phase-contrast mag...
Knowledge Tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational setti...
Environmental crime is the third largest criminal activity worldwide, with significant revenues coming from illegal management of solid waste. Thank...
Electrocardiogram (ECG)-based biometrics offer a promising method for user identification, combining intrinsic liveness detection with morphological...
Large Language Models (LLMs) have attained human-level accuracy on medical question-answer (QA) benchmarks. However, their limitations in navigating...
Cognitive diagnosis can infer the students' mastery of specific knowledge concepts based on historical response logs. However, the existing cognitiv...
Pathologically altered iron levels, detected using iron-sensitive MRI techniques such as quantitative susceptibility mapping (QSM), are observed in ...
Importance: Emergency department (ED) returns for mental health conditions pose a major healthcare burden, with 24-27% of patients returning within ...
Personalized learning represents a promising educational strategy within intelligent educational systems, aiming to enhance learners' practice effic...
In online educational platforms, adaptive experiment designs play a critical role in personalizing learning pathways, instructional sequencing, and ...
Exercising regularly is widely recognized as a cornerstone of health, yet the challenge of sustaining consistent exercise habits persists. Understan...
Dried blood spots (DBS) represent a convenient clinical sample material, offering low infection risk, easy transport, and long-term metabolite stabili...
The gut microbiota both adapts to, and shapes, the host’s metabolic state through metabolites and gene regulatory networks, influencing multiple organ...
The ability of wildlife to live in anthropogenic structures is widely observed across many animal species. As proximity to humans is an important risk...