Primary Care

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

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Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data.

Colorectal cancer (CRC) is third in prevalence and mortality among all cancers in the US. Currently,...

Aug 2019 31437221
The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.

Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently availabl...

Aug 2019 31607340
Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationships.

In this work, computational compound screening strategies on the basis of two- and three-dimensional...

Aug 2019 31435894
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.

Artificial intelligence (AI) is expected to support clinical judgement in medicine. We constructed a...

Aug 2019 31413285
Strategies to Tackle the Global Burden of Diabetic Retinopathy: From Epidemiology to Artificial Intelligence.

Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...

Aug 2019 31408872
Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning.

Glaucoma is a chronic eye disease that leads to irreversible vision loss. The Cup-to-Disc Ratio (CDR...

Aug 2019 31403451
Prediction of melanoma evolution in melanocytic nevi via artificial intelligence: A call for prospective data.

Recent research revealed the superiority of artificial intelligence over dermatologists to diagnose ...

Aug 2019 31401471
Sex Differences in Diabetes Prevalence, Comorbidities, and Health Care Utilization among American Indians Living in the Northern Plains.

BACKGROUND: The American Indian (AI) population experiences significant diet-related health disparit...

Aug 2019 32258998
Electroencephalogram Spectral Moments for the Detection of Nocturnal Hypoglycemia.

Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of diabetes. ...

Jul 2019 31369389
On the interpretability of machine learning-based model for predicting hypertension.

BACKGROUND: Although complex machine learning models are commonly outperforming the traditional simp...

Jul 2019 31357998
Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines.

Diabetic retinopathy (DR) is an eye disease that victimize the people suffering from diabetes from m...

Jul 2019 31606114
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.

BACKGROUND: Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood glucose (BG) r...

Jul 2019 31383477
Machine Learning Models in Type 2 Diabetes Risk Prediction: Results from a Cross-sectional Retrospective Study in Chinese Adults.

Type 2 diabetes mellitus (T2DM) has become a prevalent health problem in China, especially in urban ...

Jul 2019 31346994
Learning-to-rank technique based on ignoring meaningless ranking orders between compounds.

Learning-to-rank, which is a machine-learning technique for information retrieval, was recently intr...

Jul 2019 31377536
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading.

Diabetes is a globally prevalent disease that can cause visible microvascular complications such as ...

Jul 2019 31341220
Opportunities and Challenges in Phenotypic Screening for Neurodegenerative Disease Research.

Toxic misfolded proteins potentially underly many neurodegenerative diseases, but individual targets...

Jul 2019 31268707
Building the case for actionable ethics in digital health research supported by artificial intelligence.

The digital revolution is disrupting the ways in which health research is conducted, and subsequentl...

Jul 2019 31311535
The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images.

According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degr...

Jul 2019 31300897
Multivariate Cluster-Based Multifactor Dimensionality Reduction to Identify Genetic Interactions for Multiple Quantitative Phenotypes.

To understand the pathophysiology of complex diseases, including hypertension, diabetes, and autism,...

Jul 2019 31380425
Demographic, psychological, behavioral, and cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive Development (ABCD) study.

BACKGROUND: Previous research has implicated demographic, psychological, behavioral, and cognitive v...

Jul 2019 31288867
Prediction of Aneurysm Stability Using a Machine Learning Model Based on PyRadiomics-Derived Morphological Features.

Background and Purpose- Discrimination of the stability of intracranial aneurysms is critical for de...

Jul 2019 31288671
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