Use of Artificial Intelligence and Machine Learning Algorithms with Gene Expression Profiling to Predict Recurrent Nonmuscle Invasive Urothelial Carcinoma of the Bladder-Reference-Cited by-同舟云学术

Use of Artificial Intelligence and Machine Learning Algorithms with Gene Expression Profiling to Predict Recurrent Nonmuscle Invasive Urothelial Carcinoma of the Bladder

Published:2016-02 Issue:2 Volume:195 Page:493-498
ISSN:0022-5347
Container-title:Journal of Urology
language:en
Short-container-title:Journal of Urology

Author:

Bartsch Georg¹²,Mitra Anirban P.¹,Mitra Sheetal A.¹,Almal Arpit A.³,Steven Kenneth E.⁴,Skinner Donald G.¹,Fry David W.³,Lenehan Peter F.³,Worzel William P.³,Cote Richard J.⁵

Affiliation:

1. University of Southern California, Los Angeles, California

2. Goethe University Frankfurt, Frankfurt, Germany

3. Everist Genomics, Ann Arbor, Michigan

4. University of Copenhagen, Copenhagen, Denmark

5. University of Miami, Miami, Florida

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Urology

Reference29 articles.

1. Molecular staging of bladder cancer;Mitra;BJU Int,2005