Research graph
References from Machine Learning and Data Mining Methods in Diabetes Research. Local targets link to admitted publications; unresolved targets remain external evidence.
Biology: the big challenges of big data
10.1038/498255a · 2013 · External reference
Computing: a vision for data science
10.1038/493473a · 2013 · External reference
10.7551/mitpress/4660.001.0001
10.7551/mitpress/4660.001.0001 · 1999 · External reference
Unresolved reference
1997 · External reference
From data mining to knowledge discovery in databases
1996 · External reference
Unresolved reference
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Unresolved reference
1993 · External reference
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1994 · External reference
Unresolved reference
2014 · External reference
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2011 · External reference
Unresolved reference
2004 · External reference
An introduction to variable and feature selection
2003 · External reference
Unresolved reference
2011 · External reference
Diagnosis and classification of diabetes mellitus
10.2337/dc09-s062 · 2009 · External reference
Test for screening and diagnosis of type 2 diabetes
10.2337/diaclin.27.4.132 · 2009 · External reference
Oral antidiabetic agents: current role in type 2 diabetes mellitus
10.2165/00003495-200565030-00005 · 2005 · External reference
Structure-specific adipogenic capacity of novel, well-defined ternary Zn(II)-Schiff base materials. Biomolecular correlations in zinc-induced differentiation of 3T3-L1 pre-adipocytes to adipocytes
10.1016/j.jinorgbio.2015.08.014 · 2015 · External reference
Design, synthesis and characterization of novel binary V(V)-Schiff base materials linked with insulin-mimetic vanadium-induced differentiation of 3T3-L1 fibroblasts to adipocytes. Structure–function correlations at the molecular level
10.1016/j.jinorgbio.2015.03.009 · 2015 · External reference
The adipogenic potential of Cr(III). A molecular approach exemplifying metal-induced enhancement of insulin mimesis in diabetes mellitus II
10.1016/j.jinorgbio.2016.07.015 · 2016 · External reference
Antidiabetic vanadium(IV) and zinc(II) complexes review article coordination
2002 · External reference
Unresolved reference
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10.1038/nature05488
10.1038/nature05488 · External reference
10.1177/193229681100500127
10.1177/193229681100500127 · External reference
Data analytics identify glycated haemoglobin co-markers for type 2 diabetes mellitus diagnosis
10.1016/j.compbiomed.2016.05.005 · 2016 · External reference
A tutorial on variable selection for clinical prediction models: feature selection methods in data mining could improve the results
10.1016/j.jclinepi.2015.10.002 · 2016 · External reference
An improved electromagnetism-like mechanism algorithm and its application to the prediction of diabetes mellitus
10.1016/j.jbi.2015.02.001 · 2015 · External reference
Type 2 diabetes biomarkers of human gut microbiota selected via iterative sure independent screening method
10.1371/journal.pone.0140827 · 2015 · External reference
10.1007/s11517-015-1263-1
10.1007/s11517-015-1263-1 · External reference
Identification of type 2 diabetes risk factors using phenotypes consisting of anthropometry and triglycerides based on machine learning
10.1109/jbhi.2015.2396520 · 2016 · External reference
A consensus perceived glycemic variability metric
10.1177/193229681300700409 · 2013 · External reference
Exploring the relationship between 5′AMP-activated protein kinase and markers related to type 2 diabetes mellitus
10.1016/j.talanta.2013.03.039 · 2013 · External reference
Quantitative population–health relationship (QPHR) for assessing metabolic syndrome
2013 · External reference
Feature generation using genetic programming with comparative partner selection for diabetes classification
10.1016/j.eswa.2013.04.003 · 2013 · External reference
A flexible data-driven comorbidity feature extraction framework
10.1016/j.compbiomed.2016.04.014 · 2016 · External reference
10.1023/a:1010933404324
10.1023/a:1010933404324 · External reference
Theoretical and empirical analysis of ReliefF and RReliefF
10.1023/a:1025667309714 · 2003 · External reference
Nearest neighbor pattern classification
10.1109/tit.1967.1053964 · 1967 · External reference
An improved particle swarm optimization for feature selection
10.3233/ida-2012-0517 · 2012 · External reference
Sure independence screening for ultrahigh dimensional feature space
10.1111/j.1467-9868.2008.00674.x · 2008 · External reference
10.1089/big.2015.0029
10.1089/big.2015.0029 · External reference
Machine learning approaches for discerning intercorrelation of hematological parameters and glucose level for identification of diabetes mellitus
2013 · External reference
Predicting metabolic syndrome using the random forest method
10.1155/2015/581501 · 2015 · External reference
Type 2 diabetes mellitus screening and risk factors using decision tree: results of data mining
10.5539/gjhs.v7n5p304 · 2015 · External reference
10.1089/big.2015.0020
10.1089/big.2015.0020 · External reference
Comparison of three data mining models for predicting diabetes or prediabetes by risk factors
10.1016/j.kjms.2012.08.016 · 2013 · External reference
Non-invasive detection of fasting blood glucose level via electrochemical measurement of saliva
10.1186/s40064-016-2339-6 · 2016 · External reference
A predictive metabolic signature for the transition from gestational diabetes to type 2 diabetes
10.2337/db15-1720 · 2016 · External reference
Learning statistical models of phenotypes using noisy labeled training data
10.1093/jamia/ocw028 · 2016 · External reference
Digital family history data mining with neural networks: a pilot study
2016 · External reference
Reverse engineering and evaluation of prediction models for progression to type 2 diabetes: an application of machine learning using electronic health records
10.1177/1932296815620200 · 2015 · External reference
Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: a cross-sectional, unselected, retrospective study
10.1016/j.jbi.2015.12.006 · 2016 · External reference
IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework
10.1016/j.jbi.2015.12.001 · 2016 · External reference
Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms
10.1016/j.cmpb.2011.03.018 · 2011 · External reference
The impact of oversampling with SMOTE on the performance of 3 classifiers in prediction of type 2 diabetes
10.1177/0272989x14560647 · 2016 · External reference
Screening for prediabetes using machine learning models
2014 · External reference
Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis
10.1016/j.jbi.2014.07.013 · 2014 · External reference
Prediction of fasting plasma glucose status using anthropometric measures for diagnosing type 2 diabetes
10.1109/jbhi.2013.2264509 · 2014 · External reference
Evaluation of stream mining classifiers for real-time clinical decision support system: a case study of blood glucose prediction in diabetes therapy
10.1155/2013/274193 · 2013 · External reference
Predictive models for type 2 diabetes onset in middle-aged subjects with the metabolic syndrome
10.1186/1758-5996-5-36 · 2013 · External reference
Predictive models to assess risk of type 2 diabetes, hypertension and comorbidity: machine-learning algorithms and validation using national health data from Kuwait—a cohort study
10.1136/bmjopen-2012-002457 · 2013 · External reference
Type 2 diabetes risk forecasting from EMR data using machine learning
2012 · External reference
Computational intelligence-based diagnosis tool for the detection of prediabetes and type 2 diabetes in India
10.1900/rds.2012.9.55 · 2012 · External reference
Diagnosis of diabetes diseases using an Artificial Immune Recognition System2 (AIRS2) with fuzzy K-nearest neighbor
10.1007/s10916-011-9748-4 · 2012 · External reference
Probability machines: consistent probability estimation using nonparametric learning machines
10.3414/me00-01-0052 · 2012 · External reference
A fuzzy classification system based on ant colony optimization for diabetes disease diagnosis
10.1016/j.eswa.2011.05.018 · 2011 · External reference
An automatic diabetes diagnosis system based on LDA-Wavelet Support Vector Machine Classifier
10.1016/j.eswa.2011.01.017 · 2011 · External reference
Blood glucose prediction using artificial neural networks trained with the AIDA diabetes simulator: a proof-of-concept pilot study
2011 · External reference
Multivariate prediction of subcutaneous glucose concentration in type 1 diabetes patients based on support vector regression
10.1109/titb.2012.2219876 · 2013 · External reference
Rule extraction from support vector machines using ensemble learning approach: an application for diagnosis of diabetes
10.1109/jbhi.2014.2325615 · 2015 · External reference
Using data mining techniques in monitoring diabetes care. The simpler the better?
10.1007/s10916-009-9363-9 · 2011 · External reference
An application of association rule mining to extract risk pattern for type 2 diabetes using Tehran lipid and glucose study database
10.5812/ijem.25389 · 2015 · External reference
Survival association rule mining towards type 2 diabetes risk assessment
2013 · External reference
Extending association rule summarization techniques to assess risk of diabetes mellitus
10.1109/tkde.2013.76 · 2015 · External reference
Unresolved reference
2012 · External reference
Design of fuzzy classifier for diabetes disease using modified artificial bee colony algorithm
10.1016/j.cmpb.2013.07.009 · 2013 · External reference
A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis
10.1016/j.artmed.2015.08.003 · 2015 · External reference
Diabetes-related microvascular and macrovascular diseases in the physical therapy setting
10.2522/ptj.20080008 · 2008 · External reference
Development and validation of risk assessment models for diabetes-related complications based on the DCCT/EDIC data
10.1016/j.jdiacomp.2015.03.001 · 2015 · External reference
Realization of a service for the long-term risk assessment of diabetes-related complications
10.1016/j.jdiacomp.2015.03.011 · 2015 · External reference
Improving risk-stratification of diabetes complications using temporal data mining
2015 · External reference
An interpretable rule-based diagnostic classification of diabetic nephropathy among type 2 diabetes patients
10.1186/1471-2105-16-s1-s5 · 2015 · External reference
Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype–phenotype risk patterns in diabetic kidney disease: a prospective case–control cohort analysis
10.1186/1471-2369-14-162 · 2013 · External reference
Using random forest models to identify correlates of a diabetic peripheral neuropathy diagnosis from electronic health record data
2016 · External reference
An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy
10.1016/j.artmed.2013.04.007 · 2013 · External reference
Predicting cardiac autonomic neuropathy category for diabetic data with missing values
10.1016/j.compbiomed.2013.07.002 · 2013 · External reference
10.1177/193229680800200619
10.1177/193229680800200619 · External reference
Diabetes of the brain: computational approaches and interventional strategies
10.2174/18715273113126660156 · 2014 · External reference
Development of a clinical forecasting model to predict comorbid depression among diabetes patients and an application in depression screening policy making
2015 · External reference
In-vitro diagnosis of single and poly microbial species targeted for diabetic foot infection using e-nose technology
10.1186/s12859-015-0601-5 · 2015 · External reference
Development of a web-based liver cancer prediction model for type II diabetes patients by using an artificial neural network
10.1016/j.cmpb.2015.11.009 · 2016 · External reference
Mortality from heart disease in a cohort of 23,000 patients with insulin-treated diabetes
10.1007/s00125-003-1116-6 · 2003 · External reference
Identification and progression of heart disease risk factors in diabetic patients from longitudinal electronic health records
10.1155/2015/636371 · 2015 · External reference
Hypoglycemia in diabetes
2003 · External reference
Hypoglycemia prediction using machine learning models for patients with type 2 diabetes
10.1177/1932296814554260 · 2015 · External reference
A glucose model based on support vector regression for the prediction of hypoglycemic events under free-living conditions
10.1089/dia.2012.0285 · 2013 · External reference
Evaluation of an algorithm for retrospective hypoglycemia detection using professional continuous glucose monitoring data
10.1177/1932296813511744 · 2014 · External reference
Detecting intentional insulin omission for weight loss in girls with type 1 diabetes mellitus
10.1002/eat.22138 · 2013 · External reference
The prevalence of and factors associated with diabetic retinopathy in the Australian population
10.2337/diacare.26.6.1731 · 2003 · External reference
Automated analysis of diabetic retinopathy images: principles, recent developments, and emerging trends
10.1007/s11892-013-0393-9 · 2013 · External reference
Combined methods for diabetic retinopathy screening, using retina photographs and tear fluid proteomics biomarkers
10.1155/2015/623619 · 2015 · External reference
Development of diagnostic biomarkers for detecting diabetic retinopathy at early stages using quantitative Proteomics.J
2016 · External reference
Diabetic retinopathy risk prediction for fundus examination using sparse learning: a cross-sectional study
10.1186/1472-6947-13-106 · 2013 · External reference
Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier
10.1007/s11517-015-1329-0 · 2015 · External reference
DREAM: diabetic retinopathy analysis using machine learning
10.1109/jbhi.2013.2294635 · 2014 · External reference
A novel image recuperation approach for diagnosing and ranking retinopathy disease level using diabetic fundus image
10.1371/journal.pone.0125542 · 2015 · External reference
Assessing the need for referral in automatic diabetic retinopathy detection
10.1109/tbme.2013.2278845 · 2013 · External reference
Exudate-based diabetic macular edema detection in fundus images using publicly available datasets
10.1016/j.media.2011.07.004 · 2012 · External reference
Multimedia data mining for automatic diabetic retinopathy screening
2013 · External reference
Weighted ensemble based automatic detection of exudates in fundus photographs
2014 · External reference
10.1109/tbme.2013.2282625
10.1109/tbme.2013.2282625 · External reference
Machine learning approaches for detecting diabetic retinopathy from clinical and public health records
2015 · External reference
Tear fluid proteomics multimarkers for diabetic retinopathy screening
10.1186/1471-2415-13-40 · 2013 · External reference
An innovative multi-disciplinary diabetes complications screening programme in a rural community: a description and preliminary results of the screening
10.1071/py06003 · 2006 · External reference
The use of sequential pattern mining to predict next prescribed medications
10.1016/j.jbi.2014.09.003 · 2015 · External reference
Differential sequential patterns supporting insulin therapy of new-onset type 1 diabetes
10.1186/s12938-015-0004-x · 2015 · External reference
Advanced insulin bolus advisor based on run-to-run control and case-based reasoning
2015 · External reference
Alper Tunga: dosage planning for type 2 diabetes mellitus patients using indexing HDMR
10.1016/j.eswa.2012.01.056 · 2012 · External reference
An assessment of patient behavior over time-periods: a case study of managing type 2 diabetes through blood glucose readings and insulin doses
10.1007/s10916-012-9894-3 · 2012 · External reference
Navigating the chemical space of dipeptidyl peptidase-4 inhibitors
2015 · External reference
Artificial neural network-based drug design for diabetes mellitus using flavonoids
10.1002/jcc.21641 · 2011 · External reference
Quantifying the effect of statin use in pre-diabetic phenotypes discovered through association rule mining
2013 · External reference
Patient characteristics are not associated with clinically important differential response to dapagliflozin: a staged analysis of phase 3 data
10.1007/s13300-014-0090-y · 2014 · External reference
An efficacy driven approach for medication recommendation in type 2 diabetes treatment using data mining techniques
2013 · External reference
Predictors of remission of type 2 diabetes mellitus in obese patients after gastrointestinal surgery
10.1016/j.orcp.2012.08.190 · 2013 · External reference
Predictors of diabetes remission after bariatric surgery in Asia
10.1016/j.asjsur.2012.04.010 · 2012 · External reference
10.1016/j.cell.2015.11.001
10.1016/j.cell.2015.11.001 · External reference
Concordance for type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland
10.1007/bf02221682 · 1992 · External reference
10.1016/j.ymgme.2003.11.010
10.1016/j.ymgme.2003.11.010 · External reference
An object-oriented regression for building disease predictive models with multiallelic HLA genes
10.1002/gepi.21968 · 2016 · External reference
Definition of high-risk type 1 diabetes HLA-DR and HLA-DQ types using only three single nucleotide polymorphisms
10.2337/db12-1398 · 2013 · External reference
A methodology for multivariate phenotype-based genome-wide association studies to mine pleiotropic genes
10.1186/1752-0509-5-s2-s13 · 2011 · External reference
Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference
10.1016/j.ygeno.2013.12.007 · 2014 · External reference
10.1016/j.phrp.2011.07.005
10.1016/j.phrp.2011.07.005 · External reference
Tyrosine kinase ligand-receptor pair prediction by using support vector machine
10.1155/2015/528097 · 2015 · External reference
Unresolved reference
External reference
The role of the electronic medical record in the assessment of health related quality of life
2011 · External reference
On robust methodologies for managing public health care systems
10.3390/ijerph110101106 · 2014 · External reference
An algorithm to identify patients with treated type 2 diabetes using medico-administrative data
10.1186/1472-6947-11-23 · 2011 · External reference
Implications of big data analytics on population health management
10.1089/big.2013.0019 · 2013 · External reference
10.1016/j.compbiomed.2013.02.018
10.1016/j.compbiomed.2013.02.018 · External reference
Real-data comparison of data mining methods in prediction of diabetes in Iran
10.4258/hir.2013.19.3.177 · 2013 · External reference
