Primary Care

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Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier.

Prolonged diabetes retinopathy leads to diabetes maculopathy, which causes gradual and irreversible ...

Current state of micro-robots/devices as substitutes for screening colonoscopy: assessment based on technology readiness levels.

BACKGROUND: Previous reports have described several candidates, which have the potential to replace ...

FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.

An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being...

Does preoperative diabetes mellitus affect weight loss outcome after biliopancreatic diversion with duodenal switch?

BACKGROUND: Preoperative type 2 diabetes mellitus (T2 DM) has previously been reported as an indepen...

A Hybrid Swarm Algorithm for optimizing glaucoma diagnosis.

Glaucoma is among the most common causes of permanent blindness in human. Because the initial sympto...

Local configuration pattern features for age-related macular degeneration characterization and classification.

Age-related Macular Degeneration (AMD) is an irreversible and chronic medical condition characterize...

Lack of association between anemia and renal disease progression in Chinese patients with type 2 diabetes.

AIMS/INTRODUCTION: Anemia has a close interaction with renal dysfunction in diabetes patients. More ...

Experimental design strategy: weak reinforcement leads to increased hit rates and enhanced chemical diversity.

High Throughput Screening (HTS) is a common approach in life sciences to discover chemical matter th...

Scalable 96-well Plate Based iPSC Culture and Production Using a Robotic Liquid Handling System.

Continued advancement in pluripotent stem cell culture is closing the gap between bench and bedside ...

Acceptability and usability of a telepresence robot for geriatric primary care: A pilot.

The dual challenge of increasing numbers of older adults and overall increases in those with some fo...

Input strategy analysis for an air quality data modelling procedure at a local scale based on neural network.

In recent years, a significant part of the studies on air pollutants has been devoted to improve sta...

MLViS: A Web Tool for Machine Learning-Based Virtual Screening in Early-Phase of Drug Discovery and Development.

Virtual screening is an important step in early-phase of drug discovery process. Since there are tho...

Applying a novel combination of techniques to develop a predictive model for diabetes complications.

Among the many related issues of diabetes management, its complications constitute the main part of ...

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.

BACKGROUND: Manual eligibility screening (ES) for a clinical trial typically requires a labor-intens...

Screening Internet forum participants for depression symptoms by assembling and enhancing multiple NLP methods.

Depression is a disease that can dramatically lower quality of life. Symptoms of depression can rang...

An adaptive Hidden Markov model for activity recognition based on a wearable multi-sensor device.

Human activity recognition is important in the study of personal health, wellness and lifestyle. In ...

A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning.

BACKGROUND: Postpartum depression (PPD) is a disorder that often goes undiagnosed. The development o...

Development of an antidiabetic formulation (ADJ6) and its inhibitory activity against α-amylase and α-glucosidase.

There has recently been much advancement in the diagnosis, treatment, and research of metabolic diso...

Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.

Breast cancer is one of the most common cause of cancer mortality. Early detection through mammograp...

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