Primary Care

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

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Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.

INTRODUCTION: Annual eye examinations are recommended for diabetic patients in order to detect diabe...

Nov 2015 26958235
Using a Clinical Knowledge Base to Assess Comorbidity Interrelatedness Among Patients with Multiple Chronic Conditions.

Decision support tools increasingly integrate clinical knowledge such as medication indications and ...

Nov 2015 26958279
Circulating Aldosterone Levels and Disease Severity in Pulmonary Arterial Hypertension.

OBJECTIVES: It is not known whether aldosterone levels are associated with increased mortality in pa...

Oct 2015 27170847
Effectiveness of intragastric balloon for obesity: A systematic review and meta-analysis based on randomized control trials.

BACKGROUND: Obesity has become a worldwide epidemic, and many methods are currently used to reduce o...

Oct 2015 26968503
In vitro, ex vivo and in vivo anti-hypertensive activity of Chrysophyllum cainito L. extract.

Chrysophyllum cainito L., a traditional herbal medicine, could have the potential for management of ...

Oct 2015 26770385
Opinion versus practice regarding the use of rehabilitation services in home care: an investigation using machine learning algorithms.

BACKGROUND: Resources for home care rehabilitation are limited, and many home care clients who could...

Oct 2015 26453354
The association between cardiorespiratory fitness and abdominal adiposity in postmenopausal, physically inactive South Asian women.

In South Asians, a unique obesity phenotype of high abdominal fat is associated with increased cardi...

Sep 2015 26844150
Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.

The 2014 i2b2 natural language processing shared task focused on identifying cardiovascular risk fac...

Aug 2015 26318122
Coronary artery disease risk assessment from unstructured electronic health records using text mining.

Coronary artery disease (CAD) often leads to myocardial infarction, which may be fatal. Risk factors...

Aug 2015 26319542
A Soft Computing Approach to Kidney Diseases Evaluation.

Kidney renal failure means that one's kidney have unexpectedly stopped functioning, i.e., once chron...

Aug 2015 26310948
A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.

In the present society, most families are double-income families, and as the long-term care is serio...

Aug 2015 26265236
Machine Learning Techniques for Prediction of Early Childhood Obesity.

OBJECTIVES: This paper aims to predict childhood obesity after age two, using only data collected pr...

Aug 2015 26448795
Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management.

OBJECTIVE: To develop an expandable knowledge base of reusable knowledge related to self-management ...

Aug 2015 26547253
A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases.

Automated phenotype identification plays a critical role in cohort selection and bioinformatics data...

Aug 2015 26241355
Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.

The second track of the 2014 i2b2/UTHealth natural language processing shared task focused on identi...

Jul 2015 26210362
A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40-49...

Jul 2015 26220142
Cheminformatics Based Machine Learning Models for AMA1-RON2 Abrogators for Inhibiting Plasmodium falciparum Erythrocyte Invasion.

Malaria remains a dreadful disease by putting every year about 3.4 billion people at risk and result...

Jul 2015 27490966
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