Literature DB >> 11309757

Clinical problems, computational solutions: a vision for a collaborative future.

R F Levine1.   

Abstract

Mesh:

Year:  2001        PMID: 11309757     DOI: 10.1002/1097-0142(20010415)91:8+<1595::aid-cncr1172>3.3.co;2-g

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


× No keyword cloud information.
  4 in total

1.  Artificial neural networks for decision-making in urologic oncology.

Authors:  Theodore Anagnostou; Mesut Remzi; Bob Djavan
Journal:  Rev Urol       Date:  2003

2.  Comparison between artificial neural network and Cox regression model in predicting the survival rate of gastric cancer patients.

Authors:  Lucheng Zhu; Wenhua Luo; Meng Su; Hangping Wei; Juan Wei; Xuebang Zhang; Changlin Zou
Journal:  Biomed Rep       Date:  2013-07-18

3.  Possible contribution of artificial neural networks and linear discriminant analysis in recognition of patients with suspected atrophic body gastritis.

Authors:  Edith Lahner; Enzo Grossi; Marco Intraligi; Massimo Buscema; Vito-D Corleto; Gianfranco Delle Fave; Bruno Annibale
Journal:  World J Gastroenterol       Date:  2005-10-07       Impact factor: 5.742

4.  A model to discriminate malignant from benign thyroid nodules using artificial neural network.

Authors:  Lu-Cheng Zhu; Yun-Liang Ye; Wen-Hua Luo; Meng Su; Hang-Ping Wei; Xue-Bang Zhang; Juan Wei; Chang-Lin Zou
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.