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Título del libro: Aging Research - Methodological Issues: Second Edition
Título del capítulo: The challenge of big data and data mining in aging research

Autores UNAM:
LUIS MIGUEL FRANCISCO GUTIERREZ ROBLEDO;

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Autores externos:

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Idioma:
Inglés

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Año de publicación:
2018

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Palabras clave:

Big data; Big knowledge; Data mining; Public health; Systems biology

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Resumen:

Population growth and fast evolution of several technologies into almost every corner of human activities have become a constant in the modern society nowadays. Consequently, an enormous amount of information is generated every day, from many sources, such as: web information, mobile phones, social media, scientific reports, medical and healthcare information among others, resulting in the so called Big Data. Digitization, storage, collection, and particularly analysis of patterns on these data have led to advances in data sciences (Data Mining) to obtain valuable information from people necessities, demands, hobbies, and activities daily from such databases (Big Knowledge). On the other side, aging has become one of the main challenges of modern societies, since there is an increase on prevalence of chronic pathological conditions and aging associated outcomes. Biomedical and clinical research have experienced several advances in the last years with the implementation of omics technologies and digitization of healthcare, in this context, Big Data and Data Mining become a powerful tool to obtain valuable information that could be used to approach the complexity of the aging process and the clinical implications for older adults. Several companies and governments all over the world have already started to successfully implement these types of technologies from pharmaceutical developments to public health issues. Although future seems promising novel holistic approaches are needed to implement a multidisciplinary agenda that could help us understand the complexities of human aging and develop the appropriate interventions to improve older people's health in healthcare systems. © Springer International Publishing AG, part of Springer Nature 2018. All rights reserved.

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Entidades citadas de la UNAM:

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Fuente:


ISBN:
9783319953878
Editorial:
Springer International Publishing Nombre de la publicación:
The challenge of big data and data mining in aging research
Página inicial:
185
Página final:
196

Tipo de producto:
Capítulo de un Libro

DOI:
10.1007/978-3-319-95387-8_14