Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports

Autor: Dhaubhadel, Sayera, Mohd-Yusof, Jamaludin, Ganguly, Kumkum, Chennupati, Gopinath, Thulasidasan, Sunil, Hengartner, Nicolas W., Mumphrey, Brent J., Durbin, Eric B., Doherty, Jennifer A., Lemieux, Mireille, Schaefferkoetter, Noah, Tourassi, Georgia, Coyle, Linda, Penberthy, Lynne, McMahon, Benjamin H., Bhattacharya, Tanmoy

Safe deployment of deep learning systems in critical real world applications requires models to make very few mistakes, and only under predictable circumstances. In this work, we address this problem using an abstaining classifier that is tuned to ha

Externí odkaz: http://arxiv.org/abs/2009.05094

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Association of the COVID-19 Pandemic With Patterns of Statewide Cancer Services.

Autor: Yabroff KR; Surveillance and Health Equity Science, American Cancer Society, Atlanta, GA, USA., Wu XC; Louisiana State University Health Sciences Center, School of Public Health, New Orleans, LA, USA., Negoita S; Surveillance Research Program, National Cancer Institute, Rockville, MD, USA., Stevens J; Information Management Services, Inc, Calverton, MD, USA., Coyle L; Information  Management Services, Inc, Calverton, MD, USA., Zhao J; Surveillance  and Health Equity Science, American Cancer Society, Atlanta, GA, USA., Mumphrey BJ; Louisiana State University Health Sciences Center, School of Public Health, New Orleans , LA, USA., Jemal A; Surveillance and  Health Equity Science, American Cancer Society, Atlanta, GA, USA., Ward KC; Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Publikováno v: Journal of the National Cancer Institute [J Natl Cancer Inst] 2022 Jun 13; Vol. 114 (6), pp. 907-909.