A tongue features fusion approach to predicting prediabetes and diabetes with machine learning

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Correlates, facilitators and barriers of physical activity among primary care patients with prediabetes in Singapore – a mixed methods approach

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Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

(2020) Junfeng Gao et al.   Plant Methods

Doing More With Less: A Multitask Deep Learning Approach in Plant Phenotyping

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A convolutional neural network-based system to classify patients using FDG PET/CT examinations

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Associations between the Neutrophil-to-Lymphocyte Ratio and Diabetic Complications in Adults with Diabetes: A Cross-Sectional Study

(2020) Heng Wan et al.   Journal of Diabetes Research

Carnosol as a Nrf2 Activator Improves Endothelial Barrier Function Through Antioxidative Mechanisms

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The tongue features associated with type 2 diabetes mellitus

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Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes

(2019) Satoko Yamaguchi et al.   JMIR mHealth and uHealth

A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients

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Improvement diagnostic accuracy of sinusitis recognition in paranasal sinus X-ray using multiple deep learning models

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VOC Profiles of Saliva in Assessment of Halitosis and Submandibular Abscesses Using HS-SPME-GC/MS Technique

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Building Risk Prediction Models for Type 2 Diabetes Using Machine Learning Techniques

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Tongue color clustering and visual application based on 2D information

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Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder

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Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?

(2018) Stefano A. Bini   JOURNAL OF ARTHROPLASTY

Diabetes Activates Periodontal Ligament Fibroblasts via NF-κB In Vivo

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Yellow Tongue Coating is Associated With Diabetes Mellitus Among Japanese Non-smoking Men and Women: The Toon Health Study

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A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study

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Discrimination and conversion prediction of mild cognitive impairment using convolutional neural networks

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Diabetes 2030: Insights from Yesterday, Today, and Future Trends

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Assessment of atrial conduction times in prediabetic patients with coronary artery disease

(2017) Mahdokht Rezaei   Anatolian Journal of Cardiology

The role of periodontal niches in influencing the tongue microbiota: relationship with periodontitis and oral malodour

(2017) A. S. Stephen et al.   Journal of Oral Microbiology

Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation Data

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Tongue coating frequency and its colonization by yeasts in chronic kidney disease patients

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Optimal Drift Correction for Superresolution Localization Microscopy with Bayesian Inference

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ROC-Boosting: A Feature Selection Method for Health Identification Using Tongue Image

(2015) Yan Cui et al.   Computational and Mathematical Methods in Medicine

Resting heart rate and the risk of developing impaired fasting glucose and diabetes: the Kailuan prospective study

(2015) L. Wang et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

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Impact of Resolvin E1 on Murine Neutrophil Phagocytosis in Type 2 Diabetes

(2014) Bruno S. Herrera et al.   INFECTION AND IMMUNITY

Economic Costs of Diabetes in the U.S. in 2012

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The ARIC predictive model reliably predicted risk of type II diabetes in Asian populations

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Periodontal conditions, oral Candida albicans and salivary proteins in type 2 diabetic subjects with emphasis on gender

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