268 related articles for article (PubMed ID: 26701199)
21. Prediction of different types of liver diseases using rule based classification model.
Kumar Y; Sahoo G
Technol Health Care; 2013; 21(5):417-32. PubMed ID: 23963359
[TBL] [Abstract][Full Text] [Related]
22. Application of artificial neural networks to establish a predictive mortality risk model in children admitted to a paediatric intensive care unit.
Chan CH; Chan EY; Ng DK; Chow PY; Kwok KL
Singapore Med J; 2006 Nov; 47(11):928-34. PubMed ID: 17075658
[TBL] [Abstract][Full Text] [Related]
23. [Application of artificial neural network model to predict the health risk of dyslipidemia in individuals].
Wang C; Li Y; Hu D; Zhang W; Yang S; Xi Y; Xue Y; Li W
Wei Sheng Yan Jiu; 2011 Jan; 40(1):43-5. PubMed ID: 21434310
[TBL] [Abstract][Full Text] [Related]
24. Artificial neural network model is superior to logistic regression model in predicting treatment outcomes of interferon-based combination therapy in patients with chronic hepatitis C.
Wang CH; Mo LR; Lin RC; Kuo JJ; Chang KK; Wu JJ
Intervirology; 2008; 51(1):14-20. PubMed ID: 18309244
[TBL] [Abstract][Full Text] [Related]
25. The Performance of Different Artificial Intelligence Models in Predicting Breast Cancer among Individuals Having Type 2 Diabetes Mellitus.
Hsieh MH; Sun LM; Lin CL; Hsieh MJ; Hsu CY; Kao CH
Cancers (Basel); 2019 Nov; 11(11):. PubMed ID: 31717292
[No Abstract] [Full Text] [Related]
26. Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.
Oh E; Yoo TK; Hong S
Invest Ophthalmol Vis Sci; 2015 Jun; 56(6):3957-66. PubMed ID: 26098462
[TBL] [Abstract][Full Text] [Related]
27. Prediction of fatty liver disease using machine learning algorithms.
Wu CC; Yeh WC; Hsu WD; Islam MM; Nguyen PAA; Poly TN; Wang YC; Yang HC; Jack Li YC
Comput Methods Programs Biomed; 2019 Mar; 170():23-29. PubMed ID: 30712601
[TBL] [Abstract][Full Text] [Related]
28. Comparison of two data mining techniques in labeling diagnosis to Iranian pharmacy claim dataset: artificial neural network (ANN) versus decision tree model.
Rezaei-Darzi E; Farzadfar F; Hashemi-Meshkini A; Navidi I; Mahmoudi M; Varmaghani M; Mehdipour P; Soudi Alamdari M; Tayefi B; Naderimagham S; Soleymani F; Mesdaghinia A; Delavari A; Mohammad K
Arch Iran Med; 2014 Dec; 17(12):837-43. PubMed ID: 25481323
[TBL] [Abstract][Full Text] [Related]
29. Comparing an Artificial Neural Network to Logistic Regression for Predicting ED Visit Risk Among Patients With Cancer: A Population-Based Cohort Study.
Sutradhar R; Barbera L
J Pain Symptom Manage; 2020 Jul; 60(1):1-9. PubMed ID: 32088358
[TBL] [Abstract][Full Text] [Related]
30. Predicting hypotensive episodes during spinal anesthesia with the application of artificial neural networks.
Lin CS; Chiu JS; Hsieh MH; Mok MS; Li YC; Chiu HW
Comput Methods Programs Biomed; 2008 Nov; 92(2):193-7. PubMed ID: 18760495
[TBL] [Abstract][Full Text] [Related]
31. Use of an artificial neural network to quantitate risk of malignancy for abnormal mammograms.
Orr RK
Surgery; 2001 Apr; 129(4):459-66. PubMed ID: 11283538
[TBL] [Abstract][Full Text] [Related]
32. Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks.
Nilsson J; Ohlsson M; Thulin L; Höglund P; Nashef SA; Brandt J
J Thorac Cardiovasc Surg; 2006 Jul; 132(1):12-9. PubMed ID: 16798296
[TBL] [Abstract][Full Text] [Related]
33. Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.
Chen J; Chen J; Ding HY; Pan QS; Hong WD; Xu G; Yu FY; Wang YM
Asian Pac J Cancer Prev; 2015; 16(12):5095-9. PubMed ID: 26163648
[TBL] [Abstract][Full Text] [Related]
34. In-hospital mortality prediction in patients receiving mechanical ventilation in Taiwan.
Chen CJ; Shi HY; Lee KT; Huang TY
Am J Crit Care; 2013 Nov; 22(6):506-13. PubMed ID: 24186822
[TBL] [Abstract][Full Text] [Related]
35. Predicting coronary artery disease: a comparison between two data mining algorithms.
Ayatollahi H; Gholamhosseini L; Salehi M
BMC Public Health; 2019 Apr; 19(1):448. PubMed ID: 31035958
[TBL] [Abstract][Full Text] [Related]
36. Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data.
Eftekhar B; Mohammad K; Ardebili HE; Ghodsi M; Ketabchi E
BMC Med Inform Decis Mak; 2005 Feb; 5():3. PubMed ID: 15713231
[TBL] [Abstract][Full Text] [Related]
37. Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and Stratification.
Roffman DA; Hart GR; Leapman MS; Yu JB; Guo FL; Ali I; Deng J
JCO Clin Cancer Inform; 2018 Dec; 2():1-10. PubMed ID: 30652591
[TBL] [Abstract][Full Text] [Related]
38. Comparison of artificial neural network and logistic regression models for predicting in-hospital mortality after primary liver cancer surgery.
Shi HY; Lee KT; Lee HH; Ho WH; Sun DP; Wang JJ; Chiu CC
PLoS One; 2012; 7(4):e35781. PubMed ID: 22563399
[TBL] [Abstract][Full Text] [Related]
39. Application of knowledge discovery process on the prediction of stroke.
Colak C; Karaman E; Turtay MG
Comput Methods Programs Biomed; 2015 May; 119(3):181-5. PubMed ID: 25827533
[TBL] [Abstract][Full Text] [Related]
40. Application of an artificial neural network to predict postinduction hypotension during general anesthesia.
Lin CS; Chang CC; Chiu JS; Lee YW; Lin JA; Mok MS; Chiu HW; Li YC
Med Decis Making; 2011; 31(2):308-14. PubMed ID: 20876347
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
