Investigating the effectiveness of supplemental breast cancer screening tests considering radiologists’ bias

Author:

Madadi Mahboubeh1ORCID,Molani Sevda2ORCID,Williams Donna L.3

Affiliation:

1. Lucas College and Graduate School of Business, San Jose State University, San Jose, CA, USA

2. Institute for Systems Biology, Seattle, WA, USA

3. School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Reference57 articles.

1. When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis

2. Association between Mammographic Breast Density and Breast Cancer Tumor Characteristics

3. Optimal Policies for Reducing Unnecessary Follow-Up Mammography Exams in Breast Cancer Diagnosis

4. American Cancer Society. (2016). ACS breast cancer screening guideline. Retrieved August 11, 2020, from https://www.cancer.org/latest-news/special-coverage/american-cancer-society-breast-cancer-screening-guidelines.html

5. American Cancer Society. (2017). Breast cancer facts and figures 2017–2018. https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/breast-cancer-facts-and-figures/breast-cancer-facts-and-figures-2017-2018.pdf

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