Primary Care

Obesity

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

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Machine learning-based predictive modelling of mental health in Rwandan Youth.

Globally, mental disorders are a significant burden, particularly in low- and middle-income countrie...

May 2025 40341215
Identifying GAP43, NMU, and TEX29 as Potential Prognostic Biomarkers for COPD Combined With Lung Cancer Patients Using Machine Learning.

Chronic obstructive pulmonary disease (COPD) and lung cancer, frequently comorbid conditions intrica...

May 2025 40394719
Machine Learning and Statistical Insights into Hospital Stay Durations: The Italian EHR Case

Length of hospital stay is a critical metric for assessing healthcare quality and optimizing hospi...

M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data

Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to inc...

Skeleton-Based Intake Gesture Detection With Spatial-Temporal Graph Convolutional Networks

Overweight and obesity have emerged as widespread societal challenges, frequently linked to unheal...

Comorbidity-Informed Transfer Learning for Neuro-developmental Disorder Diagnosis

Neuro-developmental disorders are manifested as dysfunctions in cognition, communication, behaviou...

ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling

The temporal complexity of electronic health record (EHR) data presents significant challenges for...

Predicting Prostate Cancer Diagnosis Using Machine Learning Analysis of Healthcare Utilization Patterns.

This study investigated healthcare utilization patterns prior to prostate cancer diagnoses, aiming t...

Apr 2025 40200434
Predicting Body Fat Percentage from Simple Anthropometric Measurements: A Machine Learning Approach.

Accurately assessing body fat percentage (BF%) is crucial for healthcare and fitness but is hindered...

Apr 2025 40200459
Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models

Post-Traumatic Stress Disorder (PTSD) remains underdiagnosed in clinical settings, presenting oppo...

A Scalable Framework for Evaluating Health Language Models

Large language models (LLMs) have emerged as powerful tools for analyzing complex datasets. Recent...

Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease

Coronary artery disease remains one of the leading causes of mortality globally. Despite advances ...

A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification

Person Re-identification (ReID) systems that match individuals across images or video frames are e...

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...

Graph Transformer with Disease Subgraph Positional Encoding for Improved Comorbidity Prediction

Comorbidity, the co-occurrence of multiple medical conditions in a single patient, profoundly impa...

Estimation of total body fat using symbolic regression and evolutionary algorithms

Body fat percentage is an increasingly popular alternative to Body Mass Index to measure overweigh...

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI

Volume Interpolated Breath-Hold Examination (VIBE) MRI generates images suitable for water and fat...

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