Primary Care

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...

Hypocalcemia and osteomalacia after bariatric surgery.

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

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...

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...

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...

Learning ensemble classifiers for diabetic retinopathy assessment.

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

Machine learning and melanoma: The future of screening.

Diabetic retinopathy screening using deep neural network.

IMPORTANCE: There is a burgeoning interest in the use of deep neural network in diabetic retinal scr...

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 ...

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 ...

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...

Special section on artificial intelligence for diabetes.

Type 2 Diabetes Mellitus Is Associated with Social Recognition Memory Deficit and Altered Dopaminergic Neurotransmission in the Amygdala.

OBJECTIVE: Diabetic neuropathy is a chronic and often disabling condition that affects a significant...

Artificial intelligence for breast cancer screening: Opportunity or hype?

Interpretation of mammography for breast cancer (BC) screening can confer a mortality benefit throug...

A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening.

Colorectal cancer (CRC) a leading cause of death by cancer, and screening programs for its early ide...

Expert system application for prioritizing preventive actions for shift work: shift expert.

INTRODUCTION: Shift patterns, work hours, work arrangements and worker motivations have increasingly...

Kinase inhibitor screening using artificial neural networks and engineered cardiac biowires.

Kinase inhibitors are often used as cancer targeting agents for their ability to prevent the activat...

Interaction prediction in structure-based virtual screening using deep learning.

We introduce a deep learning architecture for structure-based virtual screening that generates fixed...

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.

We describe an automated methodology for the analysis of unregistered cranio-caudal (CC) and medio-l...

Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to cont...

Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm.

BACKGROUND AND OBJECTIVE: Diabetes is a silent killer. The main cause of this disease is the presenc...