NDLI: A data-driven analytics approach in the study of pneumonia's fatalities

Content Provider	IEEE Xplore Digital Library
Author	Santos, M.Y. Carvalheira, A. Teles de Araujo, A.
Copyright Year	2015
Description	Author affiliation: Dept. of Inf. Syst., Univ. of Minho, Guimaraes, Portugal (Santos, M.Y.) \|\| Fundacao Portuguesa do Pulmao Lisboa, Portuguese Lung Found., Lisbon, Portugal (Carvalheira, A.; Teles de Araujo, A.)
Abstract	As huge amounts of data become available in organizations and society, specific data analytics skills and techniques are needed to explore this data and extract from it useful patterns, tendencies, models or other useful knowledge, which could be used to support the decision-making process, to define new strategies or to understand what is happening in a specific field. Only with a deep understanding of a phenomenon it is possible to fight it. In this paper, a data-driven analytics approach is used for the analysis of the increasing incidence of fatalities by pneumonia in the Portuguese population, characterizing the disease and its incidence in terms of fatalities, knowledge that can be used to define appropriate strategies that can aim to reduce this phenomenon, which has increased more than 65% in a decade.
Sponsorship	IEEE Comput. Intell. Soc.
Starting Page	1
Ending Page	10
File Size	2846590
Page Count	10
File Format	PDF
ISBN	9781467382724
DOI	10.1109/DSAA.2015.7344868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-19
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data exploration Data analysis Pneumonia Hospitals Lungs Data warehouses Data-driven analytics Dashboards Data mining Diseases
Content Type	Text
Resource Type	Article

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