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Using Data Science Software to Address Health Disparities

Using Data Science Software to Address Health Disparities

Jose O. Huerta, Gayle L. Prybutok, Victor R. Prybutok
Copyright: © 2021 |Volume: 6 |Issue: 2 |Pages: 14
ISSN: 2379-738X|EISSN: 2379-7371|EISBN13: 9781799862994|DOI: 10.4018/IJBDAH.20210701.oa4
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MLA

Huerta, Jose O., et al. "Using Data Science Software to Address Health Disparities." IJBDAH vol.6, no.2 2021: pp.45-58. http://doi.org/10.4018/IJBDAH.20210701.oa4

APA

Huerta, J. O., Prybutok, G. L., & Prybutok, V. R. (2021). Using Data Science Software to Address Health Disparities. International Journal of Big Data and Analytics in Healthcare (IJBDAH), 6(2), 45-58. http://doi.org/10.4018/IJBDAH.20210701.oa4

Chicago

Huerta, Jose O., Gayle L. Prybutok, and Victor R. Prybutok. "Using Data Science Software to Address Health Disparities," International Journal of Big Data and Analytics in Healthcare (IJBDAH) 6, no.2: 45-58. http://doi.org/10.4018/IJBDAH.20210701.oa4

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Abstract

The article assesses data science software to evaluate the usefulness of data science technology in addressing concerns such as health disparities. Data science software was analyzed using KDnuggets data related to analytics, data science, and machine learning software. Data science functionalities include computational processes and frameworks that are relevant for healthcare. This study demonstrates the importance of leading applications for conducting data science operations that can improve care in healthcare networks by addressing such factors as health disparities.