These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
128 related articles for article (PubMed ID: 28241793)
1. Predictive model for 5-year mortality after breast cancer surgery in Taiwan residents. Huang SH; Loh JK; Tsai JT; Houg MF; Shi HY Chin J Cancer; 2017 Feb; 36(1):23. PubMed ID: 28241793 [TBL] [Abstract][Full Text] [Related]
2. Artificial Neural Network and Cox Regression Models for Predicting Mortality after Hip Fracture Surgery: A Population-Based Comparison. Chen CY; Chen YF; Chen HY; Hung CT; Shi HY Medicina (Kaunas); 2020 May; 56(5):. PubMed ID: 32438724 [TBL] [Abstract][Full Text] [Related]
3. In-hospital mortality after traumatic brain injury surgery: a nationwide population-based comparison of mortality predictors used in artificial neural network and logistic regression models. Shi HY; Hwang SL; Lee KT; Lin CL J Neurosurg; 2013 Apr; 118(4):746-52. PubMed ID: 23373802 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Predicting two-year quality of life after breast cancer surgery using artificial neural network and linear regression models. Shi HY; Tsai JT; Chen YM; Culbertson R; Chang HT; Hou MF Breast Cancer Res Treat; 2012 Aug; 135(1):221-9. PubMed ID: 22836876 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Comparison of Models for Predicting Quality of Life After Surgical Resection of Hepatocellular Carcinoma: a Prospective Study. Chiu CC; Lee KT; Lee HH; Wang JJ; Sun DP; Huang CC; Shi HY J Gastrointest Surg; 2018 Oct; 22(10):1724-1731. PubMed ID: 29916106 [TBL] [Abstract][Full Text] [Related]
8. Breast Cancer Incidence and Predictors of Surgical Outcome: a Nationwide Longitudinal Study in Taiwan. Chang HT; Shi HY; Wang BW; Yeh SJ Clin Oncol (R Coll Radiol); 2017 Jun; 29(6):362-369. PubMed ID: 28139380 [TBL] [Abstract][Full Text] [Related]
9. Artificial neural network for the joint modelling of discrete cause-specific hazards. Biganzoli EM; Boracchi P; Ambrogi F; Marubini E Artif Intell Med; 2006 Jun; 37(2):119-30. PubMed ID: 16730963 [TBL] [Abstract][Full Text] [Related]
10. Use of an artificial neural network to predict head injury outcome. Rughani AI; Dumont TM; Lu Z; Bongard J; Horgan MA; Penar PL; Tranmer BI J Neurosurg; 2010 Sep; 113(3):585-90. PubMed ID: 20020844 [TBL] [Abstract][Full Text] [Related]
12. Artificial neural network model for predicting 5-year mortality after surgery for hepatocellular carcinoma: a nationwide study. Shi HY; Lee KT; Wang JJ; Sun DP; Lee HH; Chiu CC J Gastrointest Surg; 2012 Nov; 16(11):2126-31. PubMed ID: 22878787 [TBL] [Abstract][Full Text] [Related]
13. Prediction of symptomatic cerebral vasospasm after aneurysmal subarachnoid hemorrhage with an artificial neural network: feasibility and comparison with logistic regression models. Dumont TM; Rughani AI; Tranmer BI World Neurosurg; 2011 Jan; 75(1):57-63; discussion 25-8. PubMed ID: 21492664 [TBL] [Abstract][Full Text] [Related]
14. Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Das A; Ben-Menachem T; Cooper GS; Chak A; Sivak MV; Gonet JA; Wong RC Lancet; 2003 Oct; 362(9392):1261-6. PubMed ID: 14575969 [TBL] [Abstract][Full Text] [Related]
15. Training artificial neural networks directly on the concordance index for censored data using genetic algorithms. Kalderstam J; Edén P; Bendahl PO; Strand C; Fernö M; Ohlsson M Artif Intell Med; 2013 Jun; 58(2):125-32. PubMed ID: 23582884 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Comparison of the performance of log-logistic regression and artificial neural networks for predicting breast cancer relapse. Faradmal J; Soltanian AR; Roshanaei G; Khodabakhshi R; Kasaeian A Asian Pac J Cancer Prev; 2014; 15(14):5883-8. PubMed ID: 25081718 [TBL] [Abstract][Full Text] [Related]
18. Artificial neural networks applied to survival prediction in breast cancer. Lundin M; Lundin J; Burke HB; Toikkanen S; Pylkkänen L; Joensuu H Oncology; 1999 Nov; 57(4):281-6. PubMed ID: 10575312 [TBL] [Abstract][Full Text] [Related]
19. Development of a web-based liver cancer prediction model for type II diabetes patients by using an artificial neural network. Rau HH; Hsu CY; Lin YA; Atique S; Fuad A; Wei LM; Hsu MH Comput Methods Programs Biomed; 2016 Mar; 125():58-65. PubMed ID: 26701199 [TBL] [Abstract][Full Text] [Related]
20. Predicting post-treatment survivability of patients with breast cancer using Artificial Neural Network methods. Wang TN; Cheng CH; Chiu HW Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():1290-3. PubMed ID: 24109931 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]