Primary Care

Obesity

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

1,206 articles
Stay Ahead - Weekly Obesity research updates
Subscribe
Browse Categories
Showing 1009-1029 of 1,206 articles
Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study.

Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim o...

Development of a Voice-Interactive Chatbot for Personalized Health Management Using a Lifestyle Recommendation Knowledge Base.

This paper introduces a voice-interactive chatbot designed to provide personalized health recommenda...

Extracting Multifaceted Characteristics of Patients With Chronic Disease Comorbidity: Framework Development Using Large Language Models.

BACKGROUND: Research on chronic multimorbidity has increasingly become a focal point with the aging ...

Predicting overactive bladder from inflammatory markers: A machine learning approach using NHANES 2005-2020.

Overactive bladder (OAB), a prevalent condition characterized by urgency and nocturia, imposes signi...

Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules.

The application of artificial intelligence (AI) technology has realized the transformation of people...

Past, Present and Future Perspectives of Forensic Genetics.

Forensic genetics has experienced remarkable advancements over the past decades, evolving from the a...

Prediction of Glomerular Filtration Rate Following Partial Nephrectomy for Localized Renal Cell Carcinoma with Different Machine Learning Techniques.

: Partial nephrectomy (PN) is the preferred option for treating localized cT1 renal cell carcinoma (...

Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniques.

Adequate sleep is crucial for maintaining a healthy lifestyle, and its deficiency can lead to variou...

Predicting dementia in people with Parkinson's disease.

Parkinson's disease (PD) exhibits a variety of symptoms, with approximately 25% of patients experien...

The frontiers of intelligent health services: cardiovascular disease prediction using novel machine learning methods and metaheuristic algorithm.

Cardiovascular disease (CVD) significantly impacts global mortality and aging. Effective risk assess...

Pharmacokinetic and pharmacodynamic alterations in older people: what we know so far.

INTRODUCTION: Healthcare professionals face increasing challenges when managing older patients, a gr...

Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.

Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistibl...

Navigating challenging patient factors in systemic therapy for head and neck cancer.

Patients with head and neck cancer often present with complex challenges due to a substantial comorb...

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...

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...

NDDRF 2.0: An update and expansion of risk factor knowledge base for personalized prevention of neurodegenerative diseases.

INTRODUCTION: Neurodegenerative diseases (NDDs) are chronic diseases caused by brain neuron degenera...

Browse Categories