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Annu Rev Biomed Data Sci ; 6: 23-45, 2023 08 10.
Artículo en Inglés | MEDLINE | ID: mdl-37040736

RESUMEN

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.


Asunto(s)
Ciencia de los Datos , Salud de la Mujer , Femenino , Humanos , Predicción
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