Where Chemical Sensors May Assist in Clinical Diagnosis Exploring “Big Data” | Zendy

Osvaldo N. Oliveira | Zendy; Tácito T. A. T. Neves | Zendy; Fernando V. Paulovich | Zendy; Maria Cristina Ferreira de Oliveira | Zendy

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Where Chemical Sensors May Assist in Clinical Diagnosis Exploring “Big Data”

Author(s) -

Osvaldo N. Oliveira,

Tácito T. A. T. Neves,

Fernando V. Paulovich,

Maria Cristina Ferreira de Oliveira

Publication year - 2014

Publication title -

chemistry letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.492

H-Index - 114

eISSN - 1348-0715

pISSN - 0366-7022

DOI - 10.1246/cl.140762

Subject(s) - big data , data science , computer science , data mining

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.FAPESPCNPqCAPESnBioNet Films & Sensor

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