Primary Care

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

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A review on current advances in machine learning based diabetes prediction.

Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged period i...

Feb 2021 33642253
Protein glycation - biomarkers of metabolic dysfunction and early-stage decline in health in the era of precision medicine.

Protein glycation provides a biomarker in widespread clinical use, glycated hemoglobin HbA (A1C). It...

Feb 2021 33707127
Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort.

BACKGROUND: Previously developed prediction models for type 2 diabetes mellitus (T2DM) have limited ...

Feb 2021 33631067
Monitoring social distancing under various low light conditions with deep learning and a single motionless time of flight camera.

The purpose of this work is to provide an effective social distance monitoring solution in low light...

Feb 2021 33630951
LLAD: Life-Log Anomaly Detection Based on Recurrent Neural Network LSTM.

Life-Log is a term used for the daily monitoring of health conditions and recognizing anomalies from...

Feb 2021 33708367
Assessment of Thoracic Pain Using Machine Learning: A Case Study from Baja California, Mexico.

Thoracic pain is a shared symptom among gastrointestinal diseases, muscle pain, emotional disorders,...

Feb 2021 33672112
Integrated Learning: Screening Optimal Biomarkers for Identifying Preeclampsia in Placental mRNA Samples.

Preeclampsia (PE) is a maternal disease that causes maternal and child death. Treatment and preventi...

Feb 2021 33680070
Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.

BACKGROUND: Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics withou...

Feb 2021 33647600
Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients.

Anemia, for which erythropoiesis-stimulating agents (ESAs) and iron supplements (ISs) are used as pr...

Feb 2021 33746600
Artificial intelligence in outcomes research: a systematic scoping review.

: Despite the number of systematic reviews of how artificial intelligence is being used in different...

Feb 2021 33554681
Combinatorial K-Means Clustering as a Machine Learning Tool Applied to Diabetes Mellitus Type 2.

A new original procedure based on k-means clustering is designed to find the most appropriate clinic...

Feb 2021 33671157
3D microscopy and deep learning reveal the heterogeneity of crown-like structure microenvironments in intact adipose tissue.

Crown-like structures (CLSs) are adipose microenvironments of macrophages engulfing adipocytes. Thei...

Feb 2021 33597245
The Use of Machine Learning Techniques to Determine the Predictive Value of Inflammatory Biomarkers in the Development of Type 2 Diabetes Mellitus.

Certain inflammatory biomarkers, such as interleukin-6, interleukin-1, C-reactive protein (CRP), an...

Feb 2021 33596118
Diabetes detection using deep learning techniques with oversampling and feature augmentation.

BACKGROUND AND OBJECTIVE: Diabetes is a chronic pathology which is affecting more and more people ov...

Feb 2021 33631638
The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations.

There is clear evidence to suggest that diabetes does not affect all populations equally. Among adul...

Feb 2021 33565982
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.

Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that ma...

Feb 2021 33547335
Artificial Intelligence in the assessment of diabetic retinopathy from fundus photographs.

: Over the next 25 years, the global prevalence of diabetes is expected to grow to affect 700 millio...

Feb 2021 33539253
Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.

COVID-19 is a newly emerging infectious disease, which is generally susceptible to human beings and ...

Feb 2021 33536460
[Applications of artificial intelligence to new drug development].

Artificial intelligence (AI) encompasses technologies recapitulating four dimensions of human intell...

Jan 2021 33529579
Associated factors of white matter hyperintensity volume: a machine-learning approach.

To identify the most important parameters associated with cerebral white matter hyperintensities (WM...

Jan 2021 33504924
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