Primary Care

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

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Diet-induced weight loss and markers of endothelial dysfunction and inflammation in treated patients with type 2 diabetes.

BACKGROUND & AIMS: Overweight and obesity increase cardiovascular mortality in patients with type 2 ...

Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.

Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of ...

Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.

OBJECTIVE: The objective of this study is to develop an algorithm to accurately identify children wi...

Screening for antibacterial and antibiofilm activity in Thai medicinal plant extracts against oral microorganisms.

To evaluate the antibacterial activity of 12 ethanol extracts of Thai traditional herb against oral ...

Extracting Information from Electronic Medical Records to Identify the Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures.

Obesity is a chronic disease with an increasing impact on the world's population. In this work, we p...

Confirming an integrated pathology of diabetes and its complications by molecular biomarker-target network analysis.

Despite ongoing research into diabetes and its complications, the underlying molecular associations ...

Cardiovascular Risk Factors in 7-13 Years Old Children from Vojvodina (Serbia).

BACKGROUND: Atherosclerosis is a chronic inflammatory disease which starts early in life and depends...

Assessing the user experience of older adults using a neural network trained to recognize emotions from brain signals.

The use of Ambient Assisted Living (AAL) technologies as a means to cope with problems that arise du...

Effects of Fish Oil Supplementation on Gestational Diabetes Mellitus (GDM): A Systematic Review.

CONTEXT: One of the most common complications of pregnancy is gestational diabetes mellitus (GDM), w...

Diagnosis of Diabetes Mellitus by Extraction of Morphological Features of Red Blood Cells Using an Artificial Neural Network.

Diabetes mellitus is a metabolic disorder characterized by varying hyperglycemias either due to ins...

Effect of cranberry () oligosaccharides on the formation of advanced glycation end-products.

The formation and accumulation of advanced glycation end-products (AGEs) are implicated in several ...

Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetes.

Hypoglycemia is a very common in type 1 diabetic persons and can occur at any age. It is always thre...

Effect of Binding Pose and Modeled Structures on SVMGen and GlideScore Enrichment of Chemical Libraries.

Virtual screening consists of docking libraries of small molecules to a target protein followed by r...

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.

Secondary use of electronic health records (EHRs) promises to advance clinical research and better i...

Knowledge-Based Methods To Train and Optimize Virtual Screening Ensembles.

Ensemble docking can be a successful virtual screening technique that addresses the innate conformat...

Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients With Diabetes.

BACKGROUND: About 10% of patients with diabetes discontinue treatment, resulting in the progression ...

Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi-instrument fusion.

BACKGROUND: Machine learning (ML) provides novel opportunities for human behavior research and clini...

The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM.

Using the theory of machine learning to assist the virtual screening (VS) has been an effective plan...

Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study.

OBJECTIVES: Diabetes is increasing in worldwide prevalence, toward epidemic levels. Diabetic neuropa...

Dietary triglycerides as signaling molecules that influence reward and motivation.

The reinforcing and motivational aspects of food are tied to the release of the dopamine in the meso...

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