Racism is embedded into the health industry in a subconscious level, inuencing people in a subconscious level and backed by in- stitutional policies. We set out to develop a machine learning al- gorithm to detect cancerous melanoma in a patient's skin, ensuring that the results of this system remain fair and consistent regardless of the patient's ethnicity or origin. While Convolutional Neural Net- works (CNNs) yielded 79.8% accuracy, the highest of the algorithms we tested, there's still room for improvement, and we believe that further research in this subject should be done.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Eteng, Praise
• Morgan, Noelle

Subject

• Inclusion
• Computing
• Health
• Project-Based Learning
• Learning

Publisher

• Worcester Polytechnic Institute

Identifier

• 4751
• E-project-120920-170645

Advisor

• Smith, Therese Mary

Year

• 2020

UN Sustainable Development Goals

• 3 - Good Health and Well-being
• 10 - Reducing Inequality

Date created

• 2020-12-09

Resource type

• Interactive Qualifying Project

Rights statement

• In Copyright

Last modified

• 2021-10-11