Screening for Prediabetes Using Machine Learning Models
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Deok Won Kim | Won Jae Kim | Yong-Ho Lee | Tae Keun Yoo | Soo Beom Choi | Jai Won Chung | Jee Soo Park | Eun Seok Kang | Yong‐ho Lee | Deok Won Kim | J. Park | T. Yoo | Eun Seok Kang | W. Kim | S. B. Choi | S. B. Choi
[1] Wolfgang Rathmann,et al. Prediabetes: a high-risk state for diabetes development , 2012, The Lancet.
[2] K. Choi,et al. Prevalence of diabetes and impaired fasting glucose in Korea: Korean National Health and Nutrition Survey 2001. , 2006, Diabetes care.
[3] B. Reiser,et al. Estimation of the Youden Index and its Associated Cutoff Point , 2005, Biometrical journal. Biometrische Zeitschrift.
[4] J. Shaw,et al. Global and societal implications of the diabetes epidemic , 2001, Nature.
[5] W. Baxt. Application of artificial neural networks to clinical medicine , 1995, The Lancet.
[6] T. Schacker,et al. Clinical and Epidemiologic Features of Primary HIV Infection , 1996, Annals of Internal Medicine.
[7] H. Bang,et al. A patient self-assessment diabetes screening score:: development, validation, and comparison to other diabetes risk assessment scores , 2009 .
[8] Yi Han,et al. Overview of Artificial Neural Networks , 2009, Artificial Neural Networks.
[9] K. Matthews,et al. Improving the performance of physiologic hot flash measures with support vector machines. , 2009, Psychophysiology.
[10] Enzo Grossi,et al. Recognition of Morphometric Vertebral Fractures by Artificial Neural Networks: Analysis from GISMO Lombardia Database , 2011, PloS one.
[11] S. Yusuf,et al. The relationship between glucose and incident cardiovascular events. A metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 years. , 1999, Diabetes care.
[12] C. Herder,et al. The Association of Genetic Markers for Type 2 Diabetes with Prediabetic Status - Cross-Sectional Data of a Diabetes Prevention Trial , 2013, PloS one.
[13] N. Wareham,et al. Diabetes risk score: towards earlier detection of Type 2 diabetes in general practice , 2000, Diabetes/metabolism research and reviews.
[14] Yong Zhao,et al. Concurrent Subspace Width Optimization Method for RBF Neural Network Modeling , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[15] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[16] Kurt Hoffmann,et al. An Accurate Risk Score Based on Anthropometric, Dietary, and Lifestyle Factors to Predict the Development of Type 2 Diabetes , 2007, Diabetes Care.
[17] Abbas Heiat,et al. Comparison of artificial neural network and regression models for estimating software development effort , 2002, Inf. Softw. Technol..
[18] R. Jennrich,et al. Blood Glucose: a Strong Risk Factor for Mortality in Nondiabetic Patients with Cardiovascular Disease Acute Ischemic Heart Disease , 2022 .
[19] Marylyn D. Ritchie,et al. Neural networks for genetic epidemiology: past, present, and future , 2008, BioData Mining.
[20] Lucila Ohno-Machado,et al. Logistic regression and artificial neural network classification models: a methodology review , 2002, J. Biomed. Informatics.
[21] Jaakko Tuomilehto,et al. The diabetes risk score: a practical tool to predict type 2 diabetes risk. , 2003, Diabetes care.
[22] J. Choi,et al. Osteoporosis Risk Prediction for Bone Mineral Density Assessment of Postmenopausal Women Using Machine Learning , 2013, Yonsei medical journal.
[23] Stephen W. Sorensen,et al. The Cost-Effectiveness of Lifestyle Modification or Metformin in Preventing Type 2 Diabetes in Adults with Impaired Glucose Tolerance , 2005, Annals of Internal Medicine.
[24] Heejung Bang,et al. Development and Validation of a Patient Self-assessment Score for Diabetes Risk , 2009, Annals of Internal Medicine.
[25] D. Schillinger,et al. Racial/ethnic variation in prevalence estimates for United States prediabetes under alternative 2010 American Diabetes Association criteria: 1988-2008. , 2012, Ethnicity & disease.
[26] Michael M. Engelgau,et al. Prevalence of Diabetes and Impaired Fasting Glucose in Adults in the U.S. Population , 2006, Diabetes Care.
[27] Jun Zhu,et al. Prediabetes and Short-Term Outcomes in Nondiabetic Patients after Acute ST-Elevation Myocardial Infarction , 2013, Cardiology.
[28] Chung-Ho Hsieh,et al. Novel solutions for an old disease: diagnosis of acute appendicitis with random forest, support vector machines, and artificial neural networks. , 2011, Surgery.
[29] H. Bang,et al. A Simple Screening Score for Diabetes for the Korean Population , 2012, Diabetes Care.
[30] A. Akobeng,et al. Understanding diagnostic tests 3: receiver operating characteristic curves , 2007, Acta paediatrica.
[31] J. Shaw,et al. Global estimates of the prevalence of diabetes for 2010 and 2030. , 2010, Diabetes research and clinical practice.
[32] J M Dekker,et al. Relation of impaired fasting and postload glucose with incident type 2 diabetes in a Dutch population: The Hoorn Study. , 2001, JAMA.
[33] J. Shaw,et al. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. , 2011, Diabetes research and clinical practice.
[34] Kyung-Ah Kim,et al. Mortality prediction of rats in acute hemorrhagic shock using machine learning techniques , 2013, Medical & Biological Engineering & Computing.
[35] Charles X. Ling,et al. Using AUC and accuracy in evaluating learning algorithms , 2005, IEEE Transactions on Knowledge and Data Engineering.
[36] The Diabetes Prevention Program (DPP): description of lifestyle intervention. , 2002, Diabetes care.
[37] Jongoh Kim,et al. Prevalence and Management of Diabetes in Korean Adults , 2009, Diabetes Care.
[38] K. Jung-Choi,et al. The impact of governmental antismoking policy on socioeconomic disparities in cigarette smoking in South Korea. , 2009, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.
[39] E. Feskens,et al. Performance of a predictive model to identify undiagnosed diabetes in a health care setting. , 1999, Diabetes care.
[40] Xuehui Meng,et al. Comparison of three data mining models for predicting diabetes or prediabetes by risk factors , 2013, The Kaohsiung journal of medical sciences.