Predicción de Índice de Masa Corporal (IMC) Mediante Algoritmos de Máquina de Soporte Vectorial y Arboles de Decisión de Machine Learning de la IA

Acosta-Guzmán, Iván L.; Varela-Tapia, Eleanor A.; Tumbaco-Bravo, Joselyn Denisse

doi:10.54808/cisci2022.01.18

Cited by 1 publication

(2 citation statements)

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“…Moreover, in Ecuador, ML models were used to optimize the time required for a nutritionist to calculate the BMI of their patients [28] since the inhabitants of a specific area were having health issues. ML was also used to predict breast cancer by creating a neural network with biomarkers as the information source to decrease the time when cancer can be ruled out [29].…”

Section: ML Applied To Healthmentioning

confidence: 99%

“…ML is presented as a great opportunity since the models and algorithms allow predicting or estimating behaviors from the processing of existing information, allowing to address various issues with a predictive approach and giving the possibility to the entities in charge of making the most appropriate decisions regarding the needs or problems they try to solve [15], [16], [28], [31].…”

Section: ) What Contributions or Innovations Does The Use Of ML Appli...mentioning

confidence: 99%

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Machine Learning Applied to Gender Violence: A Systematic Mapping Study

Pinto-Muñoz,

Zuñiga-Samboni,

Ordoñez-Erazo

2023

Rev. Fac. Ing.

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Machine Learning (ML) has positioned itself as one of the best tools to address different problems thanks to its data processing capabilities, as well as the different models, algorithms, and predictive factors that help to solve defined problems. Therefore, this article presents a systematic mapping from 2018 to 2023 focused on the application of ML to gender-based violence. The methodology followed for this study is based on the definition of elements such as research questions, search strings, bibliographic sources, and inclusion and exclusion criteria. The research results allow us to understand the benefits and challenges of using artificial intelligence, precisely one of its branches, ML, to help combat problems in different areas of society, such as education, health, and violence, among others. It also identifies the countries where ML is being researched and the contexts it is applied to. The study discusses the application of ML to combat gender-based violence. After conducting a literature review, beneficial results were found in the application of artificial intelligence and ML. The results obtained in the different articles showed a predictive capacity and improvements compared to currently used systems. However, despite the positive results, no evidence of the development of an ML model or algorithm applied to gender-based violence in Colombia was found in the review.

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Section: ML Applied To Healthmentioning

confidence: 99%