95 related articles for article (PubMed ID: 29037067)
1. Design and application of tumor prediction model based on statistical method.
Shen S; Fan Z; Guo Q
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):232-239. PubMed ID: 29037067
[TBL] [Abstract][Full Text] [Related]
2. Comparing the predictive value of neural network models to logistic regression models on the risk of death for small-cell lung cancer patients.
Bartfay E; Mackillop WJ; Pater JL
Eur J Cancer Care (Engl); 2006 May; 15(2):115-24. PubMed ID: 16643258
[TBL] [Abstract][Full Text] [Related]
3. Prediction models for platinum-based chemotherapy response and toxicity in advanced NSCLC patients.
Yin JY; Li X; Li XP; Xiao L; Zheng W; Chen J; Mao CX; Fang C; Cui JJ; Guo CX; Zhang W; Gao Y; Zhang CF; Chen ZH; Zhou H; Zhou HH; Liu ZQ
Cancer Lett; 2016 Jul; 377(1):65-73. PubMed ID: 27126360
[TBL] [Abstract][Full Text] [Related]
4. Lung cancer risk prediction method based on feature selection and artificial neural network.
Xie NN; Hu L; Li TH
Asian Pac J Cancer Prev; 2014; 15(23):10539-42. PubMed ID: 25556505
[TBL] [Abstract][Full Text] [Related]
5. Prognostic models in patients with non-small-cell lung cancer using artificial neural networks in comparison with logistic regression.
Hanai T; Yatabe Y; Nakayama Y; Takahashi T; Honda H; Mitsudomi T; Kobayashi T
Cancer Sci; 2003 May; 94(5):473-7. PubMed ID: 12824896
[TBL] [Abstract][Full Text] [Related]
6. Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.
Fei Y; Gao K; Li WQ
Pancreatology; 2018 Dec; 18(8):892-899. PubMed ID: 30268673
[TBL] [Abstract][Full Text] [Related]
7. [Use of multilayer perception artificial neutral networks for the prediction of the probability of malignancy in adnexal tumors].
Smoleń A; Czekierdowski A; Stachowicz N; Kotarski J
Ginekol Pol; 2003 Sep; 74(9):855-62. PubMed ID: 14674136
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. [Comparison of multiple prediction models for hypertension (Neural networks, logistic regression and flexible discriminant analyses)].
Türe M; Kurt I; Yavuz E; Kürüm T
Anadolu Kardiyol Derg; 2005 Mar; 5(1):24-8. PubMed ID: 15755697
[TBL] [Abstract][Full Text] [Related]
10. Artificial neural networks predict mortality after lung transplantation better than logistic regression.
Llorca J; Dierssen-Sotos T; Gómez-Acebo I; Gonzalez-Castro A; Miñambres E
J Heart Lung Transplant; 2009 Nov; 28(11):1237-8. PubMed ID: 19783166
[No Abstract] [Full Text] [Related]
11. Preventing Heterotopic Ossification in Combat Casualties-Which Models Are Best Suited for Clinical Use?
Alfieri KA; Potter BK; Davis TA; Wagner MB; Elster EA; Forsberg JA
Clin Orthop Relat Res; 2015 Sep; 473(9):2807-13. PubMed ID: 25917420
[TBL] [Abstract][Full Text] [Related]
12. Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation.
Harrison RF; Kennedy RL
Ann Emerg Med; 2005 Nov; 46(5):431-9. PubMed ID: 16271675
[TBL] [Abstract][Full Text] [Related]
13. Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room.
Jaimes F; Farbiarz J; Alvarez D; Martínez C
Crit Care; 2005 Apr; 9(2):R150-6. PubMed ID: 15774048
[TBL] [Abstract][Full Text] [Related]
14. [Risk factor analysis of the patients with solitary pulmonary nodules and establishment of a prediction model for the probability of malignancy].
Wang X; Xu YH; Du ZY; Qian YJ; Xu ZH; Chen R; Shi MH
Zhonghua Zhong Liu Za Zhi; 2018 Feb; 40(2):115-120. PubMed ID: 29502371
[No Abstract] [Full Text] [Related]
15. Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.
Wise ES; Hocking KM; Brophy CM
J Vasc Surg; 2015 Jul; 62(1):8-15. PubMed ID: 25953014
[TBL] [Abstract][Full Text] [Related]
16. Prediction of low bone mineral density in postmenopausal women by artificial neural network model compared to logistic regression model.
Ongphiphadhanakul B; Rajatanavin R; Chailurkit L; Piaseu N; Teerarungsikul K; Sirisriro R; Komindr S; Pauvilai G
J Med Assoc Thai; 1997 Aug; 80(8):508-15. PubMed ID: 9277083
[TBL] [Abstract][Full Text] [Related]
17. Neural networks in the prediction of survival in patients with colorectal cancer.
Grumett S; Snow P; Kerr D
Clin Colorectal Cancer; 2003 Feb; 2(4):239-44. PubMed ID: 12620144
[TBL] [Abstract][Full Text] [Related]
18. Application of artificial neural network model combined with four biomarkers in auxiliary diagnosis of lung cancer.
Duan X; Yang Y; Tan S; Wang S; Feng X; Cui L; Feng F; Yu S; Wang W; Wu Y
Med Biol Eng Comput; 2017 Aug; 55(8):1239-1248. PubMed ID: 27766520
[TBL] [Abstract][Full Text] [Related]
19. Artificial neural networks and logistic regression as tools for prediction of survival in patients with Stages I and II non-small cell lung cancer.
Marchevsky AM; Patel S; Wiley KJ; Stephenson MA; Gondo M; Brown RW; Yi ES; Benedict WF; Anton RC; Cagle PT
Mod Pathol; 1998 Jul; 11(7):618-25. PubMed ID: 9688182
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
