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Validation of prediction of diabetes by the Archimedes model and comparison with other predicting models.

Stern M, Williams K, Eddy D, Kahn R.

Diabetes Care. 2008 Aug;31(8):1670-1. Epub 2008 May 28.PMID: 18509203 [PubMed - indexed for MEDLINE]Related articlesFree article

Development and validation of a Bayesian model for perioperative cardiac risk assessment in a cohort of 1,081 vascular surgical candidates.

L'Italien GJ, Paul SD, Hendel RC, Leppo JA, Cohen MC, Fleisher LA, Brown KA, Zarich SW, Cambria RP, Cutler BS, Eagle KA.

J Am Coll Cardiol. 1996 Mar 15;27(4):779-86.PMID: 8613603 [PubMed - indexed for MEDLINE]Related articles

Predicting future cardiovascular disease: do we need the oral glucose tolerance test?

Stern MP, Fatehi P, Williams K, Haffner SM.

Diabetes Care. 2002 Oct;25(10):1851-6.PMID: 12351490 [PubMed - indexed for MEDLINE]Related articlesFree article

A simplified Indian Diabetes Risk Score for screening for undiagnosed diabetic subjects.

Mohan V, Deepa R, Deepa M, Somannavar S, Datta M.

J Assoc Physicians India. 2005 Sep;53:759-63.PMID: 16334618 [PubMed - indexed for MEDLINE]Related articles

Logistic versus additive EuroSCORE. A comparative assessment of the two models in an independent population sample.

Zingone B, Pappalardo A, Dreas L.

Eur J Cardiothorac Surg. 2004 Dec;26(6):1134-40.PMID: 15541974 [PubMed - indexed for MEDLINE]Related articlesFree article

Derivation and validation of diabetes risk score for urban Asian Indians.

Ramachandran A, Snehalatha C, Vijay V, Wareham NJ, Colagiuri S.

Diabetes Res Clin Pract. 2005 Oct;70(1):63-70. Epub 2005 Apr 15.PMID: 16126124 [PubMed - indexed for MEDLINE]Related articles

Identification of insulin resistance in Asian Indian adolescents: classification and regression tree (CART) and logistic regression based classification rules.

Goel R, Misra A, Kondal D, Pandey RM, Vikram NK, Wasir JS, Dhingra V, Luthra K.

Clin Endocrinol (Oxf). 2009 May;70(5):717-24. Epub 2008 Sep 5.PMID: 18778399 [PubMed - indexed for MEDLINE]Related articles

Performance of screening questionnaires and risk scores for undiagnosed diabetes: the KORA Survey 2000.

Rathmann W, Martin S, Haastert B, Icks A, Holle R, Löwel H, Giani G; KORA Study Group.

Arch Intern Med. 2005 Feb 28;165(4):436-41.PMID: 15738374 [PubMed - indexed for MEDLINE]Related articlesFree article

Developing a prediction rule from automated clinical databases to identify high-risk patients in a large population with diabetes.

Selby JV, Karter AJ, Ackerson LM, Ferrara A, Liu J.

Diabetes Care. 2001 Sep;24(9):1547-55.PMID: 11522697 [PubMed - indexed for MEDLINE]Related articlesFree article

Development and validation of the ORACLE score to predict risk of osteoporosis.

Richy F, Deceulaer F, Ethgen O, Bruyère O, Reginster JY.

Mayo Clin Proc. 2004 Nov;79(11):1402-8.PMID: 15544019 [PubMed - indexed for MEDLINE]Related articlesFree article

Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study.

Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, D'Agostino RB Sr.

Arch Intern Med. 2007 May 28;167(10):1068-74.PMID: 17533210 [PubMed - indexed for MEDLINE]Related articlesFree article

Prospectively validated prediction of organ failure and hypotension in patients with septic shock: the Systemic Mediator Associated Response Test (SMART).

Slotman GJ.

Shock. 2000 Aug;14(2):101-6.PMID: 10947150 [PubMed - indexed for MEDLINE]Related articles

A risk score for predicting incident diabetes in the Thai population.

Aekplakorn W, Bunnag P, Woodward M, Sritara P, Cheepudomwit S, Yamwong S, Yipintsoi T, Rajatanavin R.

Diabetes Care. 2006 Aug;29(8):1872-7.PMID: 16873795 [PubMed - indexed for MEDLINE]Related articlesFree article

A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality.

Austin PC.

Stat Med. 2007 Jul 10;26(15):2937-57.PMID: 17186501 [PubMed - indexed for MEDLINE]Related articles

Value of serum glycated albumin and high-sensitivity C-reactive protein levels in the prediction of presence of coronary artery disease in patients with type 2 diabetes.

Pu LJ, Lu L, Xu XW, Zhang RY, Zhang Q, Zhang JS, Hu J, Yang ZK, Ding FH, Chen QJ, Lou S, Shen J, Fang DH, Shen WF.

Cardiovasc Diabetol. 2006 Dec 20;5:27.PMID: 17178005 [PubMed - indexed for MEDLINE]Related articlesFree article

Prediction of type 2 diabetes using simple measures of insulin resistance: combined results from the San Antonio Heart Study, the Mexico City Diabetes Study, and the Insulin Resistance Atherosclerosis Study.

Hanley AJ, Williams K, Gonzalez C, D'Agostino RB Jr, Wagenknecht LE, Stern MP, Haffner SM; San Antonio Heart Study; Mexico City Diabetes Study; Insulin Resistance Atherosclerosis Study.

Diabetes. 2003 Feb;52(2):463-9. Erratum in: Diabetes. 2003 May;52(5):1306. PMID: 12540622 [PubMed - indexed for MEDLINE]Related articlesFree article

A simple model to predict coronary disease in patients undergoing operation for mitral regurgitation.

Lim E, Ali ZA, Barlow CW, Jackson CH, Hosseinpour AR, Halstead JC, Barlow JB, Wells FC.

Ann Thorac Surg. 2003 Jun;75(6):1820-5.PMID: 12822622 [PubMed - indexed for MEDLINE]Related articles

Serious renal dysfunction after percutaneous coronary interventions can be predicted.

Brown JR, DeVries JT, Piper WD, Robb JF, Hearne MJ, Ver Lee PM, Kellet MA, Watkins MW, Ryan TJ, Silver MT, Ross CS, MacKenzie TA, O'Connor GT, Malenka DJ; Northern New England Cardiovascular Disease Study Group.

Am Heart J. 2008 Feb;155(2):260-6. Epub 2007 Nov 26.PMID: 18215595 [PubMed - indexed for MEDLINE]Related articles

The National Cholesterol Education Program - Adult Treatment Panel III, International Diabetes Federation, and World Health Organization definitions of the metabolic syndrome as predictors of incident cardiovascular disease and diabetes.

Lorenzo C, Williams K, Hunt KJ, Haffner SM.

Diabetes Care. 2007 Jan;30(1):8-13.PMID: 17192325 [PubMed - indexed for MEDLINE]Related articlesFree article

Comparative effectiveness of total population versus disease-specific neural network models in predicting medical costs.

Crawford AG, Fuhr JP Jr, Clarke J, Hubbs B.

Dis Manag. 2005 Oct;8(5):277-87.PMID: 16212513 [PubMed - indexed for MEDLINE]Related articles