Primary Care

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

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Circulating Levels of Endothelin-1 and Big Endothelin-1 in Patients with Essential Hypertension.

The role of endothelin-1 (ET-1) in the pathogenesis of hypertension (HTN) is not clearly established...

Intelligent type 2 diabetes risk prediction from administrative claim data.

Type 2 diabetes is a chronic, costly disease and is a serious global population health problem. Yet,...

Preoperative soluble cluster of differentiation 40 ligand level is associated with outcome of pulmonary endarterectomy.

OBJECTIVE: Soluble CD40 ligand (sCD40L) is associated with some pathobiological states. However, whe...

Mobile 5P-Medicine Approach for Cardiovascular Patients.

Medicine is heading towards personalized care based on individual situations and conditions. With sm...

The Influence of Robot-Assisted Learning System on Health Literacy and Learning Perception.

Healthy aging is a new challenge for the world. Therefore, health literacy education is a key issue ...

Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis.

Background Advances in computer processing and improvements in data availability have led to the dev...

Antioxidant activity of SSeCAHK in HepG2 cells: a selenopeptide identified from selenium-enriched soybean protein hydrolysates.

This paper is aimed at purifying and identifying selenium (Se)-containing antioxidative peptides fro...

Predicting obesity and smoking using medication data: A machine-learning approach.

PURPOSE: Administrative health datasets are widely used in public health research but often lack inf...

Development and evaluation of a double-check support system using artificial intelligence in endoscopic screening for gastric cancer.

BACKGROUND: This study aimed to prevent missing gastric cancer and point out low-quality images by d...

Improving Structure-Based Virtual Screening with Ensemble Docking and Machine Learning.

One of the main challenges of structure-based virtual screening (SBVS) is the incorporation of the r...

[Heart failure care in a digitalized future : A discourse on resource-sparing structures and self-determined patients].

Digital health solutions, applications of artificial intelligence (AI) and new technologies, such as...

Artificial intelligence on COVID-19 pneumonia detection using chest xray images.

Recent studies show the potential of artificial intelligence (AI) as a screening tool to detect COVI...

Machine learning-assisted screening for cognitive impairment in the emergency department.

BACKGROUND/OBJECTIVES: Despite a high prevalence and association with poor outcomes, screening to id...

Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes.

Data-driven characterization of symptom clusters in chronic conditions is essential for shared clust...

High alert drugs screening using gradient boosting classifier.

Prescription errors in high alert drugs (HAD), a group of drugs that have a high risk of complicatio...

An ontology network for Diabetes Mellitus in Mexico.

BACKGROUND: Medical experts in the domain of Diabetes Mellitus (DM) acquire specific knowledge from ...

Mulberry leaves ameliorate diabetes via regulating metabolic profiling and AGEs/RAGE and p38 MAPK/NF-κB pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Mulberry leaves have been used as traditional hypoglycemic medicine-...

Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial.

Background Supplemental screening with MRI has proved beneficial in women with extremely dense breas...

Risk factor assessments of temporomandibular disorders via machine learning.

This study aimed to use artificial intelligence to determine whether biological and psychosocial fac...

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