AIMC Topic: Diabetes Mellitus, Type 2

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Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework.

Journal of diabetes research Sep 24, 2020
BACKGROUND: An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and the number continues to grow, placing a huge burden on the healthcare system, especially in those remote, underserved areas...
Medically Underserved Area Male Smoking Middle Aged China Odds Ratio Surveys and Questionnaires Alcohol Drinking Risk Factors Aged Adult Decision Trees Humans Area Under Curve Machine Learning Asian People Algorithms Diabetes Mellitus, Type 2 Waist Circumference Female Logistic Models Decision Making Regression Analysis
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Fuzzy partitioning of clinical data for DMT2 patients.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering Sep 11, 2020
The present study represents an original approach to data interpretation of clinical data for patients with diagnosis diabetes mellitus type 2 (DMT2) using fuzzy clustering as a tool for intelligent data analysis. Fuzzy clustering is often used in cl...
Middle Aged Diabetes Mellitus, Type 2 Fuzzy Logic Cluster Analysis Predictive Value of Tests Humans Algorithms Male
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Unsupervised Clustering of Missense Variants in HNF1A Using Multidimensional Functional Data Aids Clinical Interpretation.

American journal of human genetics Sep 9, 2020
Exome sequencing in diabetes presents a diagnostic challenge because depending on frequency, functional impact, and genomic and environmental contexts, HNF1A variants can cause maturity-onset diabetes of the young (MODY), increase type 2 diabetes ris...
Child Norway Young Adult Diabetes Mellitus, Type 2 Exome Sequencing Registries Humans Adult Genetic Predisposition to Disease Mutation, Missense Hepatocyte Nuclear Factor 1-alpha Alleles Phenotype Cluster Analysis Male Unsupervised Machine Learning Datasets as Topic Female Adolescent Principal Component Analysis United Kingdom Gene Expression
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AI-based prediction for the risk of coronary heart disease among patients with type 2 diabetes mellitus.

Scientific reports Sep 2, 2020
Type 2 diabetes mellitus (T2DM) is one common chronic disease caused by insulin secretion disorder that often leads to severe outcomes and even death due to complications, among which coronary heart disease (CHD) represents the most common and severe...
Humans Male Middle Aged Diabetes Mellitus, Type 2 Coronary Disease Artificial Intelligence Female Risk Factors Aged
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Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST - IT Ramadan study).

Diabetes research and clinical practice Aug 26, 2020
OBJECTIVE: To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapi...
Diabetes Mellitus, Type 2 Glucose Hypoglycemia Risk Factors Islam Humans Artificial Intelligence Male Machine Learning Middle Aged Female Fasting
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Machine Learning Models to Predict Childhood and Adolescent Obesity: A Review.

Nutrients Aug 16, 2020
The prevalence of childhood and adolescence overweight an obesity is raising at an alarming rate in many countries. This poses a serious threat to the current and near-future health systems, given the association of these conditions with different co...
Deep Learning Adolescent Child Diabetes Mellitus, Type 2 Cardiovascular Diseases Prevalence Comorbidity Pediatric Obesity Metabolic Syndrome Models, Statistical Humans Forecasting Female Male
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Statistical inference for natural language processing algorithms with a demonstration using type 2 diabetes prediction from electronic health record notes.

Biometrics Aug 3, 2020
The pointwise mutual information statistic (PMI), which measures how often two words occur together in a document corpus, is a cornerstone of recently proposed popular natural language processing algorithms such as word2vec. PMI and word2vec reveal s...
Algorithms Electronic Health Records Diabetes Mellitus, Type 2 Natural Language Processing Humans
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EAGA-MLP-An Enhanced and Adaptive Hybrid Classification Model for Diabetes Diagnosis.

Sensors (Basel, Switzerland) Jul 20, 2020
Disease diagnosis is a critical task which needs to be done with extreme precision. In recent times, medical data mining is gaining popularity in complex healthcare problems based disease datasets. Unstructured healthcare data constitutes irrelevant ...
Humans Neural Networks, Computer Algorithms Diabetes Mellitus, Type 2 Data Mining
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Early detection of type 2 diabetes mellitus using machine learning-based prediction models.

Scientific reports Jul 20, 2020
Most screening tests for T2DM in use today were developed using multivariate regression methods that are often further simplified to allow transformation into a scoring formula. The increasing volume of electronically collected data opened the opport...
Fasting Blood Glucose Diabetes Mellitus, Type 2 Machine Learning Humans Models, Biological Female Area Under Curve Male Early Diagnosis Middle Aged Calibration
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Leisure time physical activity is associated with improved HDL functionality in high cardiovascular risk individuals: a cohort study.

European journal of preventive cardiology Jun 2, 2020
AIMS: Physical activity has consistently been shown to improve cardiovascular health and high-density lipoprotein-cholesterol levels. However, only small and heterogeneous studies have investigated the effect of exercise on high-density lipoprotein f...
Humans Cardiovascular Diseases Risk Factors Exercise Adult Leisure Activities Diabetes Mellitus, Type 2 Cohort Studies Cholesterol Ester Transfer Proteins Cholesterol, HDL Heart Disease Risk Factors
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