Primary Care

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

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Monitoring Patients on Metformin: Recent Changes and Rationales.

The Food and Drug Administration recently updated metformin prescribing recommendations for patient...

Dec 2017 34860984
Increased Cardiovascular Risk in Patients with Adrenal Insufficiency: A Short Review.

Cardiovascular disease (CVD) is the most common cause of death in the world. Recent studies have sho...

Dec 2017 29376070
Anti-Lipase Potential of the Organic and Aqueous Extracts of Ten Traditional Edible and Medicinal Plants in Palestine; a Comparison Study with Orlistat.

Herbs have played a fundamental and essential role in the humans life since ancient times, especial...

Dec 2017 29292744
Ensembles of Lasso Screening Rules.

In order to solve large-scale lasso problems, screening algorithms have been developed that discard ...

Nov 2017 29989981
Estimation of stress distribution in ferromagnetic tensile specimens using low cost eddy current stress measurement system and BP neural network.

Estimation of the stress distribution in ferromagnetic components is very important for evaluating t...

Nov 2017 29145500
Predictions of ocular changes caused by diabetes in glaucoma patients.

BACKGROUND AND OBJECTIVE: This paper builds different neural network models with simple topologies, ...

Nov 2017 29249342
Endothelial markers in high altitude induced systemic hypertension (HASH) at moderate high altitude.

BACKGROUND: Chronic intermittent hypoxia is known to induce systemic arterial hypertension whereas c...

Nov 2017 29386711
A Machine Learning Ensemble Classifier for Early Prediction of Diabetic Retinopathy.

The main complication of diabetes is Diabetic retinopathy (DR), retinal vascular disease and it lead...

Nov 2017 29124453
Radiomics and radiogenomics in lung cancer: A review for the clinician.

Lung cancer is responsible for a large proportion of cancer-related deaths across the globe, with de...

Nov 2017 29290259
A fuzzy logic-based warning system for patients classification.

Typically acute deterioration in sick people is preceded by subtle changes in the physiological para...

Nov 2017 29108458
A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults.

BACKGROUND: Type 2 diabetes is the most expensive chronic disease in the United States. Two-thirds o...

Nov 2017 30291087
Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis.

The early diagnosis of disease is critical to preventing the occurrence of severe complications. Dia...

Oct 2017 29121541
Hypocalcemia and osteomalacia after bariatric surgery.

INTRODUCTION: Obesity has become a major health problem not only in industrialized societies but als...

Oct 2017 29263738
Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication.

The estimation of long-term diabetes complications risk is essential in the process of medical decis...

Oct 2017 29990007
Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare.

Healthcare as we know it is in the process of going through a massive change - from episodic to cont...

Oct 2017 29399675
Noninvasive Evaluation of Portal Hypertension Using a Supervised Learning Technique.

Portal hypertension (PHT) is a key event in the evolution of different chronic liver diseases and le...

Oct 2017 29158886
Learning ensemble classifiers for diabetic retinopathy assessment.

Diabetic retinopathy is one of the most common comorbidities of diabetes. Unfortunately, the recomme...

Oct 2017 28993124
Temporal case-based reasoning for type 1 diabetes mellitus bolus insulin decision support.

Individuals with type 1 diabetes have to monitor their blood glucose levels, determine the quantity ...

Oct 2017 28986108
Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.

Non-invasive diabetes prediction has been gaining prominence over the last decade. Among many human ...

Sep 2017 28961131
Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction.

OBJECTIVE: The use of artificial intelligence techniques to find out which Single Nucleotide Polymor...

Sep 2017 28943335
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