Predicting cancer survival at different stages: Insights from fair and explainable machine learning approaches - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Tejasvi Sanjay Kamble, Hongtao Wang, Nicole Myers, Nickolas Littlefield, Leah Reid, Cynthia S. McCarthy, Young Ji Lee, Hongfang Liu, Liron Pantanowitz, Soheyla Amirian, Hooman H. Rashidi, Ahmad P. Tafti. Predicting cancer survival at different stages: Insights from fair and explainable machine learning approaches. I. J. Medical Informatics, 197:105822, 2025. [doi]

The following publications are possibly variants of this publication:

An ensemble machine learning approach to predict survival in breast cancerAmira Djebbari, Ziying Liu, Sieu Phan, Fazel Famili. ijcbdd, 1(3):275-294, 2008. [doi]

Gene selection from microarray data for cancer classification - a machine learning approachYu Wang, Igor V. Tetko, Mark A. Hall, Eibe Frank, Axel Facius, Klaus F. X. Mayer, Hans-Werner Mewes. CANDC, 29(1):37-46, 2005. [doi]

runs on WebDSL