Challenges and Opportunities for Data Science in Women's Health

被引:2
|
作者
Edwards, Todd L. [1 ,2 ]
Greene, Catherine A. [2 ,3 ]
Piekos, Jacqueline A. [2 ,3 ]
Hellwege, Jacklyn N. [2 ,4 ]
Hampton, Gabrielle [1 ,2 ]
Jasper, Elizabeth A. [3 ,5 ]
Edwards, Digna R. Velez [2 ,3 ,6 ]
机构
[1] Vanderbilt Univ, Div Epidemiol, Dept Med, Med Ctr, Nashville, TN USA
[2] Vanderbilt Univ, Vanderbilt Genet Inst, Med Ctr, Nashville, TN 37235 USA
[3] Vanderbilt Univ, Div Quantitat Sci, Dept Obstet & Gynecol, 221 Kirkland Hall, Nashville, TN 37235 USA
[4] Vanderbilt Univ, Div Med Genet, Dept Med, Med Ctr, Nashville, TN USA
[5] Vanderbilt Univ, Ctr Precis Med, Med Ctr, Nashville, TN USA
[6] Vanderbilt Univ, Dept Biomed Informat, Med Ctr, Nashville, TN 37235 USA
基金
美国国家卫生研究院;
关键词
data science; biomedical research; reproductive health; gynecologic health; electronic health records; women's health; HORMONE-THERAPY; PREDICTIVE MODELS; SEX-DIFFERENCES; DISEASE; CANCER; RISK; ENDOMETRIOSIS; PARTICIPATION; DISPARITIES; ASSOCIATION;
D O I
10.1146/annurev-biodatasci-020722-105958
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The intersection of women's health and data science is a field of research that has historically trailed other fields, but more recently it has gained momentum. This growth is being driven not only by new investigators who are moving into this area but also by the significant opportunities that have emerged in new methodologies, resources, and technologies in data science. Here, we describe some of the resources and methods being used by women's health researchers today to meet challenges in biomedical data science. We also describe the opportunities and limitations of applying these approaches to advance women's health outcomes and the future of the field, with emphasis on repurposing existing methodologies for women's health.
引用
收藏
页码:23 / 45
页数:23
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