Machine Learning Innovation for Women's Health Improvement in Urban and Rural Societies- WIE ILC 2021

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Speaker: Nelly Elsayed, Assistant Professor, University of Cincinnati

Life is full of commitments and challenges for women in urban and rural societies. Thence, women consider less about their health, which sometimes leads to severe illness or even death due to late diagnoses. Despite the common challenges for women in urban and rural societies, some challenges appear to be different based on the duties, finance, and location that significantly confronts the quality of women's health. This presentation will show the challenges for women's health and how the innovations in machine learning can be employed to diagnose and predict women's diseases and improve the overall quality of women's health. This presentation will also provide an example of one of the current projects that target the diagnosis and prediction of diabetes and how it can improve the quality of women's health. Finally, the presentation will provide open questions in the field of women's health and machine learning.

Speaker: Nelly Elsayed, Assistant Professor, University of Cincinnati

Life is full of commitments and challenges for women in urban and rural societies. Thence, women consider less about their health, which sometimes leads to severe illness or even death due to late diagnoses. Despite the common challenges for women in urban and rural societies, some challenges appear to be different based on the duties, finance, and location that significantly confronts the quality of women's health...

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