Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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An efficient bearing fault detection strategy based on a hybrid machine learning technique.

This study introduces an innovative method for addressing the bearing fault detection problem in rot...

Machine Learning and Artificial Intelligence in Suicide Prevention: A Bibliometric Analysis of Emerging Trends and Implications for Nursing.

Nurses play a crucial role in suicide prevention, yet the integration of artificial intelligence and...

Blood pressure monitoring is key in aortic dissection.

Blood pressure (BP) control is essential for both the prevention and long-term management of aortic ...

Development and Validation of Machine Learning-Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease.

Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease and is consid...

ECG Screening in Athletes: A Systematic Review of Sport, Age, and Gender Variations.

BACKGROUND: The electrocardiogram (ECG) screening in athletes is essential due to the unique cardiac...

Global research trends in AI-assisted blood glucose management: a bibliometric study.

BACKGROUND: AI-assisted blood glucose management has become a promising method to enhance diabetes c...

DRPM: An advanced predictive model for early diabetes detection and risk stratification.

Diabetes is a prevalent chronic disease that poses a significant burden on individuals and healthcar...

Emerging blood biomarkers in Alzheimer's disease: a proteomic perspective.

Early detection of Alzheimer's disease (AD) remains a formidable clinical challenge, but emerging bl...

Development and validation of a quick screening tool for predicting neck pain patients benefiting from spinal manipulation: a machine learning study.

BACKGROUND: Neck pain (NP) ranks among the leading causes of years lived with disability worldwide. ...

Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level.

Body composition analysis is vital in assessing health conditions such as obesity, sarcopenia, and m...

Immunogenic cell death biomarkers for sepsis diagnosis and mechanism via integrated bioinformatics.

Immunogenic cell death (ICD) has been implicated in sepsis, a condition with high mortality, through...

China Protocol for early screening, precise diagnosis, and individualized treatment of lung cancer.

Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the ...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

Hypertension precision medicine: the promise and pitfalls of pharmacogenomics.

Pharmacogenomics (PGx) has the potential to revolutionize hypertension management by tailoring antih...

Screening and identification of novel protein markers of early-stage lung cancer and construction and application of screening models.

OBJECTIVE: Molecular biomarkers have the potential to improve the current state of early screening o...

Type 2 Diabetes in Taiwan: Unmasking Influential Factors Through Advanced Predictive Modeling.

Type 2 diabetes (T2D) is influenced by lifestyle, genetics, and environmental conditions. By utiliz...

Comparison of seven machine learning models in hypertension classification using photoplethysmographic and anthropometric data.

This study presents an algorithm for classifying individuals into four hypertension categories (heal...

Advancements in Biomarkers for Early Detection and Risk Stratification of Cardiovascular Diseases-A Literature Review.

INTRODUCTION: CVDs is a leading cause of morbidity, mortality, and healthcare expenditure worldwide....

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