"Machine Learning in health sciences: Uses and applications
Machine Learning in health sciences: Uses and applications
Abstract
La gran cantidad de información generada en las diferentes bases de datos en nuestra actualidad ha permitido avances en los diferentes campos de la ciencia, no solamente en la salud, también en ciencias políticas, en ciencias de biología, que, si bien, contribuyen a la formación científica y en un abordaje más completo del conocimiento, contribuyen en la forma más óptima para la toma de decisiones.Downloads
Published
2022-12-26
How to Cite
Serna-Trejos, J. S., Agudelo-Quintero, E., & Bermúdez-Moyano, S. G. (2022). "Machine Learning in health sciences: Uses and applications: Machine Learning in health sciences: Uses and applications. Peruvian Journal of Health Care and Global Health, 6(2), 95–96. Retrieved from http://52.37.22.248/index.php/hgh/article/view/214
Issue
Section
Letters to the Editor
License
Copyright (c) 2022 Juan Santiago Serna - Trejos, Esteban Agudelo - Quintero, Stefanya Geraldine Bermudez - Moyano
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- The authors will retain their copyright and will guarantee to the journal right of first publication of their work, which will simultaneously be under a Creative Commons Attribution 4.0 License that allows third parties to share the work whenever attribuying their author and first publication in this journal.
- The Author is able to enter into separate, additional contractual arrangements for the nonexclusive distribution of the journal's published version of the Work (e.g., post it to an institutional repository or publish it in a book), as long as there is provided in the document an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post online a pre-publication manuscript (but not the Publisher’s final formatted PDF version of the Work) in institutional repositories or on their Websites prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (see The Effect of Open Access).