著者

Osvaldo N. Oliveira Jr. Tácito T. A. T. Neves Fernando V. Paulovich Maria Cristina F. de Oliveira

出版者

(社)日本化学会

雑誌

Chemistry Letters (ISSN:03667022)

巻号頁・発行日

vol.43, no.11, pp.1672-1679, 2014-11-05 (Released:2014-11-05)

参考文献数

46

被引用文献数

17

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An overview is presented of the many opportunities and challenges for using “Big Data” concepts to treat data from chemical sensors. Issues discussed include the need to make data machine readable and how to integrate distinct types of data that can be acquired and stored in different places. As a concrete example of possible applications, we propose a framework for an expert system dedicated to clinical diagnosis, where data from various types of sensors can be combined with text to provide better-informed diagnostics.