将机器学习应用于医疗保健:改善所有人的可及性[来自世界各地的WIE]

L. Prives
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摘要

贾亚什里·卡帕西-克莱默博士在印度长大,她听母亲谈起她作为一名教授电子学的物理学教授的工作,这激发了她对工程学的兴趣。她称这是一个既特权又幸运的位置,因为拥有一个受过高等教育的女性榜样不是常态。当时,在印度,教育的概念被视为通往美好生活的入场券,但在许多方面,卡帕西-克莱默是她家族中第一代不必为机会而奋斗的女性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying Machine Learning to Health Care: Improving access for all [WIE From Around the World]
Growing up in India, Dr. Jayashree Kalpathy-Cramer listened to her mother talk about her work as a physics professor who taught electronics, and it piqued her interest in engineering. She calls this a position of both privilege and good fortune, in that having a female role model so highly educated was not the norm. While at the time, the concept of education in India was seen as a ticket to a good life for anyone, Kalpathy-Cramer was in many ways a first-generation woman in her family to not have to fight for the opportunity.
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