Primary Care

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

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Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm.

Serum free fatty acids (FFA) are generally elevated in obesity. The gut microbiota is involved in th...

Calcitonin Screening in Nodular Thyroid Disease: Is There a Definitive Answer?

INTRODUCTION: Calcitonin (Ctn) is a hormone secreted by thyroid "C" cells and is considered an excel...

Insulin resistance and adrenal incidentalomas: A bidirectional relationship.

An adrenal incidentaloma (AI) is an adrenal mass incidentally found via a radiological modality, ind...

Selecting Test Cases from the Electronic Health Record for Software Testing of Knowledge-Based Clinical Decision Support Systems.

Software testing of knowledge-based clinical decision support systems is challenging, labor intensiv...

Scalable Electronic Phenotyping For Studying Patient Comorbidities.

Over 75 million Americans have multiple concurrent chronic conditions and medical decision making fo...

Phenotyping through Semi-Supervised Tensor Factorization (PSST).

A computational phenotype is a set of clinically relevant and interesting characteristics that descr...

Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. N...

Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans.

U.S. military veterans who were discharged from service for misconduct are at high risk for homeless...

Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.

BACKGROUND: Heart disease (HD) is the leading cause of global death; there are several mortality pre...

Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening.

Toxicity is an important factor in failed drug development, and its efficient identification and pre...

Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models.

The volume of high throughput screening data has considerably increased since the beginning of the a...

Novel indolizine derivatives lowers blood glucose levels in streptozotocin-induced diabetic rats: A histopathological approach.

BACKGROUND: Diabetes mellitus is a deadly disorder in human which induce chronic complications. The ...

Versatility of fuzzy logic in chronic diseases: A review.

The review aims at providing current state of evidence in the field of medicine with fuzzy logic for...

Prediction of findings at screening colonoscopy using a machine learning algorithm based on complete blood counts (ColonFlag).

Adenomatous polyps are a common precursor lesion for colorectal cancer. ColonFlag is a machine- lear...

High rates of atherogenic dyslipidemia, β-cell function loss, and microangiopathy among Turkish migrants with T2DM.

AIMS: Non-Caucasian migrants require dedicated approaches in diabetes management due to specific gen...

Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning.

The conciliation of multiple single-disease guidelines for comorbid patients entails solving potenti...

Artificial intelligence and medical imaging 2018: French Radiology Community white paper.

The rapid development of information technology and data processing capabilities has led to the crea...

Chronic exposure to cadmium is associated with a marked reduction in glomerular filtration rate.

BACKGROUND: Urinary 20-hydroxyeicosatetraenoic acid (20-HETE) has been associated with hypertension ...

Machine learning based classification of cells into chronological stages using single-cell transcriptomics.

Age-associated deterioration of cellular physiology leads to pathological conditions. The ability to...

Bi-stream CNN Down Syndrome screening model based on genotyping array.

BACKGROUND: Human Down syndrome (DS) is usually caused by genomic micro-duplications and dosage imba...

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