Primary Care

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

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Photoplethysmography and Deep Learning: Enhancing Hypertension Risk Stratification.

Blood pressure is a basic physiological parameter in the cardiovascular circulatory system. Long-ter...

Oct 2018 30373211
Prevalence of Diabetic Retinopathy and Associated Mortality Among Diabetic Adults With and Without Chronic Kidney Disease.

PURPOSE: To estimate prevalence and severity of diabetic retinopathy (DR) among U.S. adults with dia...

Oct 2018 30691612
SCREEN-DR: Collaborative platform for diabetic retinopathy.

BACKGROUND AND OBJECTIVE: Diabetic retinopathy (DR) is the most prevalent microvascular complication...

Oct 2018 30409338
Identifying in Palliative Care Consultations: A Tandem Machine-Learning and Human Coding Method.

Systematic measurement of conversational features in the natural clinical setting is essential to b...

Oct 2018 30328760
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.

OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and pr...

Oct 2018 30347342
Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data.

Machine learning has shown enormous potential for computer-aided drug discovery. Here we show how mo...

Oct 2018 30273487
An improved support vector machine-based diabetic readmission prediction.

BACKGROUND AND OBJECTIVE: In healthcare systems, the cost of unplanned readmission accounts for a la...

Oct 2018 30415712
Obesity and chronic kidney disease progression-the role of a new adipocytokine: C1q/tumour necrosis factor-related protein-1.

BACKGROUND: Obesity is a risk factor for incident chronic kidney disease (CKD) in the general popula...

Oct 2018 31198543
Application of electronic trigger tools to identify targets for improving diagnostic safety.

Progress in reducing diagnostic errors remains slow partly due to poorly defined methods to identify...

Oct 2018 30291180
Can nurses remain relevant in a technologically advanced future?

Technological breakthroughs occur at an ever-increasing rate thereby revolutionizing human health an...

Oct 2018 31406875
Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.

An estimated 425 million people globally have diabetes, accounting for 12% of the world's health exp...

Oct 2018 30256722
The basal to total insulin ratio in outpatients with diabetes on basal-bolus regimen.

OBJECTIVE: To evaluate the basal/total ratio of daily insulin dose (b/T) in outpatients with diabete...

Oct 2018 30918874
Therapeutic Enoxaparin in the Morbidly Obese Patient: A Case Report and Review of the Literature.

Enoxaparin is a low molecular weight heparin commonly used in the treatment of venous thromboembolis...

Sep 2018 31762484
Deep learning-based quantification of abdominal fat on magnetic resonance images.

Obesity is increasingly prevalent and associated with increased risk of developing type 2 diabetes, ...

Sep 2018 30235253
An accessible and efficient autism screening method for behavioural data and predictive analyses.

Autism spectrum disorder is associated with significant healthcare costs, and early diagnosis can su...

Sep 2018 30230414
Digital diabetes: Perspectives for diabetes prevention, management and research.

Digital medicine, digital research and artificial intelligence (AI) have the power to transform the ...

Sep 2018 30243616
Fibroblast growth factor23 is associated with axonal integrity and neural network architecture in the human frontal lobes.

Elevated levels of FGF23 in individuals with chronic kidney disease (CKD) are associated with advers...

Sep 2018 30192823
Using predicate and provenance information from a knowledge graph for drug efficacy screening.

BACKGROUND: Biomedical knowledge graphs have become important tools to computationally analyse the c...

Sep 2018 30189889
Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.

In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care...

Sep 2018 30182736
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