130 related articles for article (PubMed ID: 27441408)
1. Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors.
Razavian N; Blecker S; Schmidt AM; Smith-McLallen A; Nigam S; Sontag D
Big Data; 2015 Dec; 3(4):277-87. PubMed ID: 27441408
[TBL] [Abstract][Full Text] [Related]
2. Reverse Engineering and Evaluation of Prediction Models for Progression to Type 2 Diabetes: An Application of Machine Learning Using Electronic Health Records.
Anderson JP; Parikh JR; Shenfeld DK; Ivanov V; Marks C; Church BW; Laramie JM; Mardekian J; Piper BA; Willke RJ; Rublee DA
J Diabetes Sci Technol; 2015 Dec; 10(1):6-18. PubMed ID: 26685993
[TBL] [Abstract][Full Text] [Related]
3. Venous Thrombosis Risk after Cast Immobilization of the Lower Extremity: Derivation and Validation of a Clinical Prediction Score, L-TRiP(cast), in Three Population-Based Case-Control Studies.
Nemeth B; van Adrichem RA; van Hylckama Vlieg A; Bucciarelli P; Martinelli I; Baglin T; Rosendaal FR; le Cessie S; Cannegieter SC
PLoS Med; 2015 Nov; 12(11):e1001899; discussion e1001899. PubMed ID: 26554832
[TBL] [Abstract][Full Text] [Related]
4. Machine Learning for the Prediction of New-Onset Diabetes Mellitus during 5-Year Follow-up in Non-Diabetic Patients with Cardiovascular Risks.
Choi BG; Rha SW; Kim SW; Kang JH; Park JY; Noh YK
Yonsei Med J; 2019 Feb; 60(2):191-199. PubMed ID: 30666841
[TBL] [Abstract][Full Text] [Related]
5. The Giessen-Bad Oeynhausen family study: improved prediction of type I diabetes in a low incidence population of relatives using combinations of islet autoantibodies in a dual step model.
Jaeger C; Hatziagelaki E; Stroedter A; Becker F; Scherer S; Petzoldt R; Federlin K; Bretzel RG
Exp Clin Endocrinol Diabetes; 1999; 107(8):496-505. PubMed ID: 10612480
[TBL] [Abstract][Full Text] [Related]
6. [Establishment of the prediction model for ischemic cardiovascular disease of elderly male population under current health care program].
Chen JH; Wu HY; He KL; He Y; Qin YH
Zhonghua Liu Xing Bing Xue Za Zhi; 2010 Oct; 31(10):1166-9. PubMed ID: 21162823
[TBL] [Abstract][Full Text] [Related]
7. Predicting Depression among Patients with Diabetes Using Longitudinal Data. A Multilevel Regression Model.
Jin H; Wu S; Vidyanti I; Di Capua P; Wu B
Methods Inf Med; 2015; 54(6):553-9. PubMed ID: 26577265
[TBL] [Abstract][Full Text] [Related]
8. Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study.
Shouval R; Labopin M; Bondi O; Mishan-Shamay H; Shimoni A; Ciceri F; Esteve J; Giebel S; Gorin NC; Schmid C; Polge E; Aljurf M; Kroger N; Craddock C; Bacigalupo A; Cornelissen JJ; Baron F; Unger R; Nagler A; Mohty M
J Clin Oncol; 2015 Oct; 33(28):3144-51. PubMed ID: 26240227
[TBL] [Abstract][Full Text] [Related]
9. Prediction of thoracic injury severity in frontal impacts by selected anatomical morphomic variables through model-averaged logistic regression approach.
Zhang P; Parenteau C; Wang L; Holcombe S; Kohoyda-Inglis C; Sullivan J; Wang S
Accid Anal Prev; 2013 Nov; 60():172-80. PubMed ID: 24060439
[TBL] [Abstract][Full Text] [Related]
10. A machine learning-based approach to prognostic analysis of thoracic transplantations.
Delen D; Oztekin A; Kong ZJ
Artif Intell Med; 2010 May; 49(1):33-42. PubMed ID: 20153956
[TBL] [Abstract][Full Text] [Related]
11. Prediction of kidney-related outcomes in patients with type 2 diabetes.
Jardine MJ; Hata J; Woodward M; Perkovic V; Ninomiya T; Arima H; Zoungas S; Cass A; Patel A; Marre M; Mancia G; Mogensen CE; Poulter N; Chalmers J;
Am J Kidney Dis; 2012 Nov; 60(5):770-8. PubMed ID: 22694950
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic, pharmacy-based, and self-reported health measures in risk equalization models.
Stam PJ; van Vliet RC; van de Ven WP
Med Care; 2010 May; 48(5):448-57. PubMed ID: 20393368
[TBL] [Abstract][Full Text] [Related]
13. Predicting risk of breast cancer in postmenopausal women by hormone receptor status.
Chlebowski RT; Anderson GL; Lane DS; Aragaki AK; Rohan T; Yasmeen S; Sarto G; Rosenberg CA; Hubbell FA;
J Natl Cancer Inst; 2007 Nov; 99(22):1695-705. PubMed ID: 18000216
[TBL] [Abstract][Full Text] [Related]
14. A consultation-based method is equal to SCORE and an extensive laboratory-based method in predicting risk of future cardiovascular disease.
Petersson U; Ostgren CJ; Brudin L; Nilsson PM
Eur J Cardiovasc Prev Rehabil; 2009 Oct; 16(5):536-40. PubMed ID: 19357517
[TBL] [Abstract][Full Text] [Related]
15. Application of Machine Learning Models to Evaluate Hypoglycemia Risk in Type 2 Diabetes.
Mueller L; Berhanu P; Bouchard J; Alas V; Elder K; Thai N; Hitchcock C; Hadzi T; Khalil I; Miller-Wilson LA
Diabetes Ther; 2020 Mar; 11(3):681-699. PubMed ID: 32009223
[TBL] [Abstract][Full Text] [Related]
16. Mortality prediction after cardiac surgery: blood lactate is indispensible.
Badreldin AM; Doerr F; Elsobky S; Brehm BR; Abul-dahab M; Lehmann T; Bayer O; Wahlers T; Hekmat K
Thorac Cardiovasc Surg; 2013 Dec; 61(8):708-17. PubMed ID: 24338631
[TBL] [Abstract][Full Text] [Related]
17. Waist/height ratio as a better predictor of type 2 diabetes compared to body mass index in Tehranian adult men--a 3.6-year prospective study.
Hadaegh F; Zabetian A; Harati H; Azizi F
Exp Clin Endocrinol Diabetes; 2006 Jun; 114(6):310-5. PubMed ID: 16868890
[TBL] [Abstract][Full Text] [Related]
18. Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers.
Regnier-Coudert O; McCall J; Lothian R; Lam T; McClinton S; N'dow J
Artif Intell Med; 2012 May; 55(1):25-35. PubMed ID: 22206941
[TBL] [Abstract][Full Text] [Related]
19. Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery.
Johnston SS; Morton JM; Kalsekar I; Ammann EM; Hsiao CW; Reps J
Value Health; 2019 May; 22(5):580-586. PubMed ID: 31104738
[TBL] [Abstract][Full Text] [Related]
20. Predicting three-year kidney graft survival in recipients with systemic lupus erythematosus.
Tang H; Poynton MR; Hurdle JF; Baird BC; Koford JK; Goldfarb-Rumyantzev AS
ASAIO J; 2011; 57(4):300-9. PubMed ID: 21701272
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
