Literature DB >> 11790276

Use of artificial neural networks in prostate cancer.

A Errejon1, E D Crawford, J Dayhoff, C O'Donnell, A Tewari, J Finkelstein, E J Gamito.   

Abstract

Artificial neural networks (ANNs) are a type of artificial intelligence software inspired by biological neuronal systems that can be used for nonlinear statistical modeling. In recent years, these applications have played an increasing role in predictive and classification modeling in medical research. We review the basic concepts behind ANNs and examine the role of this technology in selected applications in prostate cancer research.

Entities:  

Mesh:

Year:  2001        PMID: 11790276     DOI: 10.1089/10915360152745821

Source DB:  PubMed          Journal:  Mol Urol        ISSN: 1091-5362


  3 in total

1.  Pre-operative prediction of advanced prostatic cancer using clinical decision support systems: accuracy comparison between support vector machine and artificial neural network.

Authors:  Sang Youn Kim; Sung Kyoung Moon; Dae Chul Jung; Sung Il Hwang; Chang Kyu Sung; Jeong Yeon Cho; Seung Hyup Kim; Jiwon Lee; Hak Jong Lee
Journal:  Korean J Radiol       Date:  2011-08-24       Impact factor: 3.500

2.  Image-based clinical decision support for transrectal ultrasound in the diagnosis of prostate cancer: comparison of multiple logistic regression, artificial neural network, and support vector machine.

Authors:  Hak Jong Lee; Sung Il Hwang; Seok-Min Han; Seong Ho Park; Seung Hyup Kim; Jeong Yeon Cho; Chang Gyu Seong; Gheeyoung Choe
Journal:  Eur Radiol       Date:  2009-12-17       Impact factor: 5.315

3.  The Application of Classification and Regression Trees for the Triage of Women for Referral to Colposcopy and the Estimation of Risk for Cervical Intraepithelial Neoplasia: A Study Based on 1625 Cases with Incomplete Data from Molecular Tests.

Authors:  Abraham Pouliakis; Efrossyni Karakitsou; Charalampos Chrelias; Asimakis Pappas; Ioannis Panayiotides; George Valasoulis; Maria Kyrgiou; Evangelos Paraskevaidis; Petros Karakitsos
Journal:  Biomed Res Int       Date:  2015-08-03       Impact factor: 3.411

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.