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Primary-Care Subcategories: Alternative Medicine Dental Health Diet & Nutrition Exercise & Fitness Geriatrics Obesity Preventive Care Smoking & Tobacco

Showing 400-420 of 2,508 articles

Obesity classification: a comparative study of machine learning models excluding weight and height data.

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine le...

Mar 2025 40105561

ChatGPT-4o and 4o1 Preview as Dietary Support Tools in a Real-World Medicated Obesity Program: A Prospective Comparative Analysis.

BACKGROUND/OBJECTIVES: Clinicians are becoming increasingly interested in the use of large language ...

Mar 2025 40150497

Assessing the Links Between Artificial Intelligence and Precision Nutrition.

PURPOSE OF REVIEW: To conduct an overview of the potentialities of artificial intelligence in precis...

Mar 2025 40087237

Automated Fast Prediction of Bone Mineral Density From Low-dose Computed Tomography.

BACKGROUND: Low-dose chest CT (LDCT) is commonly employed for the early screening of lung cancer. Ho...

Mar 2025 40082126

Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis.

BACKGROUND: Osteoporosis is a complex condition that drives research into its causes, diagnosis, tre...

Mar 2025 40075328

A Novel Mouse Model of Type 2 Diabetes Using a Medium-Fat Diet, Fructose, and Streptozotocin to Study the Complications of Human Disease.

The study of type 2 diabetes mellitus (T2DM) pathophysiology relies mainly on the use of animal mode...

Mar 2025 40162234

Identifying individuals at risk for weight gain using machine learning in electronic medical records from the United States.

AIMS: Numerous risk factors for the development of obesity have been identified, yet the aetiology i...

Mar 2025 40069847

PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach.

OBJECTIVES: Osteoporosis, prevalent among the elderly population, is primarily diagnosed through bon...

Mar 2025 40069865

deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria.

Selenoproteins are a special group of proteins with major roles in cellular antioxidant defense. The...

Mar 2025 40062874

Machine Learning Models Integrating Dietary Indicators Improve the Prediction of Progression from Prediabetes to Type 2 Diabetes Mellitus.

: Diet plays an important role in preventing and managing the progression from prediabetes to type 2...

Mar 2025 40289953

Advanced deep learning models for predicting elemental concentrations in iron ore mine using XRF data: a cost-effective alternative to ICP-MS methods.

Accurate elemental analysis is a critical requirement for mineral exploration, particularly in regio...

Mar 2025 40045020

An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999-2018.

Current research on the association between demographic variables and dietary patterns with atherosc...

Mar 2025 40033349

A new approach to dilution prediction of underground mine gold using computing techniques.

Controlling ore dilution in underground mining is challenging. In this study, data from a Brazilian ...

Mar 2025 40053043

Development and multi-center cross-setting validation of an explainable prediction model for sarcopenic obesity: a machine learning approach based on readily available clinical features.

OBJECTIVES: Sarcopenic obesity (SO), characterized by the coexistence of obesity and sarcopenia, is ...

Mar 2025 40021576

A Scoping Review of Artificial Intelligence for Precision Nutrition.

With the role of artificial intelligence (AI) in precision nutrition rapidly expanding, a scoping re...

Feb 2025 40024275

Machine learning approach on plasma proteomics identifies signatures associated with obesity in the KORA FF4 cohort.

AIMS: This study investigated the role of plasma proteins in obesity to identify predictive biomarke...

Feb 2025 40017018

Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning.

Heat stress is a major welfare problem in the poultry industry, altering broilers' activity levels. ...

Feb 2025 40054116

Primary Care

Browse Categories

Obesity classification: a comparative study of machine learning models excluding weight and height data.

ChatGPT-4o and 4o1 Preview as Dietary Support Tools in a Real-World Medicated Obesity Program: A Prospective Comparative Analysis.

Assessing the Links Between Artificial Intelligence and Precision Nutrition.

Automated Fast Prediction of Bone Mineral Density From Low-dose Computed Tomography.

Deep learning-based evaluation of panoramic radiographs for osteoporosis screening: a systematic review and meta-analysis.

A Novel Mouse Model of Type 2 Diabetes Using a Medium-Fat Diet, Fructose, and Streptozotocin to Study the Complications of Human Disease.

Identifying individuals at risk for weight gain using machine learning in electronic medical records from the United States.

PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach.

deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria.

Machine Learning Models Integrating Dietary Indicators Improve the Prediction of Progression from Prediabetes to Type 2 Diabetes Mellitus.

Advanced deep learning models for predicting elemental concentrations in iron ore mine using XRF data: a cost-effective alternative to ICP-MS methods.

An interpretable machine learning model with demographic variables and dietary patterns for ASCVD identification: from U.S. NHANES 1999-2018.

A new approach to dilution prediction of underground mine gold using computing techniques.

Development and multi-center cross-setting validation of an explainable prediction model for sarcopenic obesity: a machine learning approach based on readily available clinical features.

A Scoping Review of Artificial Intelligence for Precision Nutrition.

Machine learning approach on plasma proteomics identifies signatures associated with obesity in the KORA FF4 cohort.

Automatic analysis of high, medium, and low activities of broilers with heat stress operations via image processing and machine learning.

AI-Powered Analysis of Weight Loss Reports from Reddit: Unlocking Social Media's Potential in Dietary Assessment.

Utilization of tree-based machine learning models for predicting low birth weight cases.

Artificial intelligence for osteoporosis detection on panoramic radiography: A systematic review and meta analysis.

Cognitive performance classification of older patients using machine learning and electronic medical records.

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