Endocrinology

Latest AI and machine learning research in endocrinology for healthcare professionals.

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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, ...

(1)
Feb 2015 25675467
Surgical safety and oncologic effectiveness in robotic versus conventional open thyroidectomy in thyroid cancer: a systematic review and meta-analysis.

BACKGROUND: Although many experiences using the da Vinci Robot System have been reported by several ...

Jan 2015 25634780
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...

(1)
Jan 2015 25603310
Noninvasive blood glucose sensing using near infra-red spectroscopy and artificial neural networks based on inverse delayed function model of neuron.

In this paper, a non-invasive blood glucose sensing system is presented using near infra-red(NIR) sp...

Dec 2014 25503416
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...

Dec 2014 25449060
European Association of Endoscopic Surgeons (EAES) consensus statement on the use of robotics in general surgery.

Following an extensive literature search and a consensus conference with subject matter experts the ...

Nov 2014 25380708
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...

(1)
Oct 2014 25316712
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...

May 2014 24860043
Decoding plant x environment interactions through spatial gradients in leaf physiology and metabolism

Succulent leaves are well known to combine photosynthesis, carbon storage and hydraulic buffering. H...

(2)
Label-free machine learning detects a multi-cancer signal in a noninvasive urine and plasma metabolite panel: a case control study

Background: Urine and plasma metabolites are attractive noninvasive cancer biomarkers, but most pane...

(3)
Radiomics-Based Thyroid Nodule Classification with Label-Conditional Conformal Prediction

Thyroid nodule malignancy assessment relies on ultrasound imaging, yet current risk stratification s...

(1)
Thyroid Nodule Segmentation in Ultrasound Images with Conformal Uncertainty Estimation

Thyroid nodules affect a large proportion of the general population. Although most are benign, a non...

(1)
GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose Transfer

Continuous glucose monitoring (CGM) foundation models encode each day as one vector that mixes who t...

(1)
Cross-cohort generalizability of machine learning models for early-stage node-negative breast cancer relapse prediction

Background: Adjuvant therapy decision in early-stage node-negative breast cancer remains one of the ...

Patterns of GLP-1 Receptor Agonist Initiation Compared With Other Glucose-Lowering and Anti-Obesity Therapies Among Older Adults

Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have rapidly expanded from primaril...

Beyond Binary Diagnosis: A Genetic Algorithm Optimized Hybrid Machine Learning Model for PCOS Phenotype Prediction

In this work, we investigate the homogeneity of performance in binary classification between the Rot...

Genetic risk and inflammatory signaling converge on cell type-specific regulatory programs in type 1 diabetes

Type 1 diabetes (T1D) is a complex autoimmune disease characterized by the destruction of insulin-pr...

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