{"id":7980,"date":"2020-05-21T08:59:58","date_gmt":"2020-05-21T13:59:58","guid":{"rendered":"https:\/\/saluddigital.com\/?p=7980"},"modified":"2025-10-21T15:11:06","modified_gmt":"2025-10-21T21:11:06","slug":"investigadores-latinoamericanos-desarrollan-diversos-proyectos-basados-en-ia-para-prevencion-de-enfermedades-en-brasil-y-argentina","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/avance-de-la-ciencia\/investigadores-latinoamericanos-desarrollan-diversos-proyectos-basados-en-ia-para-prevencion-de-enfermedades-en-brasil-y-argentina\/","title":{"rendered":"Latin American researchers develop various AI-based projects for disease prevention in Brazil and Argentina"},"content":{"rendered":"
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The projects have been applied in different regions of South America and their objectives range from preventing disease to predicting epidemics of mosquito-related diseases. <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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There are several AI projects in Latin America at different stages. In them, scientists use algorithms based on Big Data and Machine Learning<\/em>, to prevent and control diseases.<\/p>

One of the projects is led by Dominican researcher Rianier Mallol alongside epidemiologist Dhesi Raja, who met at NASA's Singularity University. The epidemiologist told him about how difficult it is for health systems to plan strategies against dengue because they don't know when the epidemic will appear. \"That's when I thought it would be a good idea to create a machine<\/em> learning<\/em> algorithm to identify in advance,\" Mallol explained.<\/p>

AIME (Artificial Intelligence in Medical Epidemiology), a project implemented in Malaysia, was created. Data collection and variables consisted of mapping databases around the world to such an extent that they managed to obtain up to 800 variables, for example, the material of the houses, however, it was subsequently reduced to 300 variables. The information gathered can achieve the prediction of a new epidemic up to three months earlier.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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On the other hand, in Argentina, at the National University of C\u00f3rdoba, there is a project that seeks to predict mosquito-borne diseases such as Zika, chikungunya, dengue, among others.<\/p>

Researcher Juan Scavuzzo leads a machine learning<\/em>project that identifies in advance the emergency risk of Aedes aegypti<\/em>colonies, the species of mosquitoes that causes dengue. This system was tested in the province of La Salta, in the city of Tartagal, in northern Argentina.<\/p>

The ultimate goal is to create a geospatial map that indicates the risks in each region of the country. In addition, they have an alternate project showing that thanks to neural networks you can predict chagas disease, a recurrent disease in rural areas of South America.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Another of the Health projects that involve AI is the one created by Cristian Yones, an engineer from the National University of the Coast in Santa Fe, Argentina, he developed a project called Child Growth<\/em> Prediction Tree<\/em> (GCPT), it is an algorithm designed to predict child malnutrition using data such as weight, height, and body mass index.<\/p>

The system was trained with data from more than 80,000 infants, as Yones confirmed. The CGPT will be tested in hospitals in Santiago del Estereo, San Juan and Mendoza. The implementation of this kind of projects could mark a milestone in disease prediction in the South American region.<\/p>

AI in Latin America has potential in the medical field of either for the prevention of diseases or for the prediction of epidemics, and just like these, there are many projects focused on AI and Digital Health in the region that should be promoted.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\tBIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

SCI DEV<\/strong><\/p>

https:\/\/www.scidev.net\/america-latina\/gobernanza\/especial\/la-ia-predice-un-futuro-mas-saludable-para-america-latina.html?__cf_chl_jschl_tk__=069d3933d95009216c170f67d81b3610887f6db0-1584054165-0-AdXG0l1SK9l5JoqKBWWNyOcrtGrlMnOUPONoaufJfFbcPeVXhpRe0cqGex_1P_ggwCKcKB4BYEhjL-ko8tkt1MEdkwSgOoryJoc2sHXMyPJcsvBzugXz1Mu1vW-Eg3tE9dDbWTRBL4jsFJOf6ol3o6ntn__WH9PEIWOdSkcT9VB9Pa-kiPOaB8qFgCvET1CtPEhDzkdpA3KtWnS0GUaUV7ejucVlEtpx6hxoP1EfCeIc5DCijrp-qBrF-6oGVSUz4qP1k6YuC2j1vxP0zZr6rR_4cORVlxFpVZMI8aI9aeb55TupOnUk76x0ofdQcd0OnjEHhggnJ_uzFxzgKxV8-lpZdBeNL2kxMGoAy_eDjzKQCOTWDmzvRXL_bbXFL4obqDP2mNg-Bk6DB5gQySoByrM<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Han sido aplicados en diferentes regiones de Sudam\u00e9rica y sus objetivos van desde prevenir enfermedades hasta predecir epidemias de enfermedades relacionadas con mosquitos. Existen diversos proyectos de IA en Latinoam\u00e9rica en diferentes etapas. En ellos, cient\u00edficos usan algoritmos apoy\u00e1ndose en Big Data y Machine Learning, para lograr prevenir y controlar enfermedades. Uno de esos proyectos es liderado por el investigador dominicano Rianier Mallol junto a el epidemi\u00f3logo Dhesi Raja, quienes coincidieron en la Universidad Singularity de la NASA. El epidemi\u00f3logo le cont\u00f3 acerca de lo dif\u00edcil para los sistemas de salud planificar estrategias contra el dengue porque desconocen cuando aparecer\u00e1 la epidemia. \u201cFue ah\u00ed que pens\u00e9 que ser\u00eda una buena idea crear un algoritmo de machine learning para identificar por adelantado\u201d, explica Mallol. De esta forma naci\u00f3 AIME (Artificial Intelligence in Medical Epidemiology), proyecto implementado en Malasia. La recolecci\u00f3n de datos y variables consisti\u00f3 en trazar un mapa de bases de datos de todo el mundo a tal grado que lograron obtener hasta 800 variables, por ejemplo, el material de las casas, sin embargo, posteriormente fue reducido a 300 variables. La informaci\u00f3n recabada puede lograr la predicci\u00f3n de una nueva epidemia hasta tres meses antes. Por otro lado, en Argentina, en la Universidad Nacional de C\u00f3rdoba, existe un proyecto que busca predecir enfermedades transmitidas por mosquitos como el zika, chikungunya, dengue, entre otras. El investigador Juan Scavuzzo, lidera un proyecto guiado por machine learning, con el que identifican con anticipaci\u00f3n el riesgo de emergencia de colonias de Aedes aegypti, la especie de mosquitos que provoca dengue. Este sistema fue probado en la provincia de la Salta, en la ciudad de Tartagal, al norte de Argentina. El objetivo final es la creaci\u00f3n de un mapa geoespacial que indique los riesgos en cada regi\u00f3n del pa\u00eds. Adem\u00e1s, tienen un proyecto alterno donde muestran que gracias a las redes neuronales se puede predecir el mal de chagas, enfermedad recurrente en zonas rurales de Sudam\u00e9rica. Otro de los proyectos en Salud que involucran IA es el de Cristian Yones, ingeniero de la Universidad Nacional del Litoral en Santa Fe, desarroll\u00f3 un proyecto llamado Child Growth Prediction Tree (GCPT), se trata de un algoritmo dise\u00f1ado para predecir la malnutrici\u00f3n infantil utilizando datos como peso, altura e \u00edndice de masa corporal. El sistema fue entrenado con datos de m\u00e1s de 80 mil infantes, seg\u00fan confirma Yones. El CGPT ser\u00e1 probado en hospitales de Santiago del Estereo, San Juan y Mendoza. La implementaci\u00f3n de este tipo de proyectos podr\u00eda marcar un hito en la predicci\u00f3n de enfermedades en la regi\u00f3n sudamericana. La IA en Latinoam\u00e9rica tiene potencial en el campo de la medicina ya sea para la prevenci\u00f3n de enfermedades o para predicci\u00f3n de epidemias y as\u00ed como estos, existen muchos proyectos enfocados a la IA y Salud Digital en la regi\u00f3n que deben ser tomados en cuenta.\u00a0 BIBLIOGRAF\u00cdA SCI DEV https:\/\/www.scidev.net\/america-latina\/gobernanza\/especial\/la-ia-predice-un-futuro-mas-saludable-para-america-latina.html?__cf_chl_jschl_tk__=069d3933d95009216c170f67d81b3610887f6db0-1584054165-0-AdXG0l1SK9l5JoqKBWWNyOcrtGrlMnOUPONoaufJfFbcPeVXhpRe0cqGex_1P_ggwCKcKB4BYEhjL-ko8tkt1MEdkwSgOoryJoc2sHXMyPJcsvBzugXz1Mu1vW-Eg3tE9dDbWTRBL4jsFJOf6ol3o6ntn__WH9PEIWOdSkcT9VB9Pa-kiPOaB8qFgCvET1CtPEhDzkdpA3KtWnS0GUaUV7ejucVlEtpx6hxoP1EfCeIc5DCijrp-qBrF-6oGVSUz4qP1k6YuC2j1vxP0zZr6rR_4cORVlxFpVZMI8aI9aeb55TupOnUk76x0ofdQcd0OnjEHhggnJ_uzFxzgKxV8-lpZdBeNL2kxMGoAy_eDjzKQCOTWDmzvRXL_bbXFL4obqDP2mNg-Bk6DB5gQySoByrM<\/p>","protected":false},"author":1,"featured_media":7981,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[152,156],"tags":[145],"class_list":["post-7980","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-avance-de-la-ciencia","category-big-data","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/7980","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=7980"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/7980\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/7981"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=7980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=7980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=7980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}