Primary Care

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

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Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach.

Urban living in modern large cities has significant adverse effects on health, increasing the risk o...

DMTO: a realistic ontology for standard diabetes mellitus treatment.

BACKGROUND: Treatment of type 2 diabetes mellitus (T2DM) is a complex problem. A clinical decision s...

Screening of Mangifera indica L. functional content using PCA and neural networks (ANN).

A method using reversed-phase high-performance liquid chromatography with diode array detection (HPL...

A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression.

Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screen...

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning.

BACKGROUND: As a high-prevalence health condition, hypertension is clinically costly, difficult to m...

Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine.

Essential hypertension (EH) has become a major chronic disease around the world. To build a risk-pre...

Comparing Three Data Mining Algorithms for Identifying the Associated Risk Factors of Type 2 Diabetes.

BACKGROUND: Increasing the prevalence of type 2 diabetes has given rise to a global health burden an...

Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the de...

Quantitative approaches to energy and glucose homeostasis: machine learning and modelling for precision understanding and prediction.

Obesity is a major global public health problem. Understanding how energy homeostasis is regulated, ...

Deep Convolutional Neural Networks for breast cancer screening.

BACKGROUND AND OBJECTIVE: Radiologists often have a hard time classifying mammography mass lesions w...

Machine learning techniques for medical diagnosis of diabetes using iris images.

BACKGROUND AND OBJECTIVE: Complementary and alternative medicine techniques have shown their potenti...

Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening.

This work introduces a number of algebraic topology approaches, including multi-component persistent...

Prediction of venous thromboembolism using semantic and sentiment analyses of clinical narratives.

Venous thromboembolism (VTE) is the third most common cardiovascular disorder. It affects people of ...

Anti-Obesity Property of Lichen Extract in 3T3-L1 Cells and Diet-Induced Obese Mice.

(TV) is an edible lichen that is prevalent in the alpine zone of East Asia. This study evaluated th...

Reactive balance control in older adults with diabetes.

Diabetes mellitus is a major health problem for older adults worldwide and could be associated with ...

Serum Troponin I levels among hypertensive Military Service Personnel at a Military Health Facility in Abuja, Nigeria.

Hypertension constitutes one of the major metabolic disease in Nigeria especially among military per...

Essential oils of Origanum compactum and Thymus vulgaris exert a protective effect against the phytopathogen Allorhizobium vitis.

Allorhizobium (Agrobacterium) vitis is a host-specific pathogenic bacterium that causes grapevine cr...

Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes.

Life expectancy is increasing and, so, the years that patients have to live with chronic diseases an...

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