Primary Care

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

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PENG: a neural gas-based approach for pharmacophore elucidation. method design, validation, and virtual screening for novel ligands of LTA4H.

The pharmacophore concept is commonly employed in virtual screening for hit identification. A pharma...

Serum tests, liver stiffness and artificial neural networks for diagnosing cirrhosis and portal hypertension.

BACKGROUND: The diagnostic performance of biochemical scores and artificial neural network models fo...

Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning.

The hypertriglyceridemic waist (HW) phenotype is strongly associated with type 2 diabetes; however, ...

Obesity and perioperative pulmonary complications in robotic gynecologic surgery.

OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns ab...

PhenoMiner: a quantitative phenotype database for the laboratory rat, Rattus norvegicus. Application in hypertension and renal disease.

Rats have been used extensively as animal models to study physiological and pathological processes i...

Quantifying small molecule phenotypic effects using mitochondrial morpho-functional fingerprinting and machine learning.

In primary fibroblasts from Leigh Syndrome (LS) patients, isolated mitochondrial complex I deficienc...

Data dependent random forest applied to screening for laryngeal disorders through analysis of sustained phonation: acoustic versus contact microphone.

Comprehensive evaluation of results obtained using acoustic and contact microphones in screening for...

An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps.

BACKGROUND: There is a growing demand for women to be classified into different risk groups of devel...

Diabetes knowledge in young adults: associations with hemoglobin A1C.

The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes kno...

Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.

INTRODUCTION: As many as 3% of computed tomography (CT) scans detect pancreatic cysts. Because pancr...

Active-learning strategies in computer-assisted drug discovery.

High-throughput compound screening is time and resource consuming, and considerable effort is invest...

The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes.

OBJECTIVE: To evaluate the impact of the synthetic minority oversampling technique (SMOTE) on the pe...

A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.

BACKGROUND: Venous thromboembolisms (VTEs), which include deep vein thrombosis (DVT) and pulmonary e...

Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...

Screening of Panamanian Plants for Cosmetic Properties, and HPLC-Based Identification of Constituents with Antioxidant and UV-B Protecting Activities.

A library of 600 taxonomically diverse Panamanian plant extracts was screened for DPPH scavenging an...

Hypoglycemia prediction using machine learning models for patients with type 2 diabetes.

Minimizing the occurrence of hypoglycemia in patients with type 2 diabetes is a challenging task sin...

Rule extraction from support vector machines using ensemble learning approach: an application for diagnosis of diabetes.

Diabetes mellitus is a chronic disease and a worldwide public health challenge. It has been shown th...

Creating a place for caregivers in personal health: the iHealthSpace copilot program and diabetes care.

BACKGROUND: As America's baby boom generation reaches retirement, the number of elders, and, in turn...

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