Cardiovascular

Prevention

Latest AI and machine learning research in prevention for healthcare professionals.

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Interpreting the Linear Structure of Vision-language Model Embedding Spaces

Vision-language models encode images and text in a joint space, minimizing the distance between co...

Mobile-Driven Incentive Based Exercise for Blood Glucose Control in Type 2 Diabetes

We propose and create an incentive based recommendation algorithm aimed at improving the lifestyle...

Beyond authorship: Analyzing contributions in PLOS ONE and the challenges of appropriate attribution

This study aims to evaluate the accuracy of authorship attributions in scientific publications, fo...

Design of AI-Powered Tool for Self-Regulation Support in Programming Education

Large Language Model (LLM) tools have demonstrated their potential to deliver high-quality assista...

Multimodal Reference Visual Grounding

Visual grounding focuses on detecting objects from images based on language expressions. Recent La...

OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Joint LLM and GNN Modeling

Complex cell signaling systems -- governed by varying protein abundances and interactions -- gener...

DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting

Reconstructing sharp 3D representations from blurry multi-view images are long-standing problem in...

Skeleton-Based Transformer for Classification of Errors and Better Feedback in Low Back Pain Physical Rehabilitation Exercises

Physical rehabilitation exercises suggested by healthcare professionals can help recovery from var...

CardioTabNet: A Novel Hybrid Transformer Model for Heart Disease Prediction using Tabular Medical Data

The early detection and prediction of cardiovascular diseases are crucial for reducing the severe ...

AdaptAI: A Personalized Solution to Sense Your Stress, Fix Your Mess, and Boost Productivity

Personalization is a critical yet often overlooked factor in boosting productivity and wellbeing i...

Personalized Class Incremental Context-Aware Food Classification for Food Intake Monitoring Systems

Accurate food intake monitoring is crucial for maintaining a healthy diet and preventing nutrition...

A Comparative Study of Diabetes Prediction Based on Lifestyle Factors Using Machine Learning

Diabetes is a prevalent chronic disease with significant health and economic burdens worldwide. Ea...

GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical Activity

Postprandial hyperglycemia, marked by the blood glucose level exceeding the normal range after mea...

Disentangled Knowledge Tracing for Alleviating Cognitive Bias

In the realm of Intelligent Tutoring System (ITS), the accurate assessment of students' knowledge ...

Image-based food groups and portion prediction by using deep learning.

Chronic diseases such as obesity and hypertension due to malnutrition can be prevented by following ...

Mar 2025 40052549
NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence

Maintaining a balanced diet is essential for overall health, yet many individuals struggle with me...

Challenges for Predictive Modeling With Neural Network Techniques Using Error-Prone Dietary Intake Data.

Dietary intake data are routinely drawn upon to explore diet-health relationships, and inform clinic...

Feb 2025 39921576
PyEvalAI: AI-assisted evaluation of Jupyter Notebooks for immediate personalized feedback

Grading student assignments in STEM courses is a laborious and repetitive task for tutors, often r...

AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling

Knowledge Tracing (KT) aims to predict students' future performances based on their former exercis...

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