A Smart Data Approach for Automatic Data Analysis

Surveillance systems are yet to be integrated with health information systems for improving the health of pregnant mothers and their newborns, particularly in developing countries. This study aimed to develop a web-based epidemiological surveillance system for maternal and newborn health with integration of action-oriented responses and automatic data analysis with results presentations and to assess the system acceptance by nurses and doctors involved in various hospitals in southern Thailand. Freeware software and scripting languages were used. The system can be run on different platforms, and it is accessible via various electronic devices. Automatic data analysis with results presentations in the forms of graphs, tables and maps was part of the system. A multi-level security system was incorporated into the program. Most doctors and nurses involved in the study felt the system was easy to use and useful. This system can be integrated into country routine reporting system for monitoring maternal and newborn health and survival.

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Surveying the complementary role of automatic data analysis and visualization in knowledge discovery

Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery Integrating Automated Analysis with Interactive Exploration - KDD '09 ◽

10.1145/1562849.1562851 ◽

2009 ◽

Cited By ~ 42

Author(s):

Enrico Bertini ◽

Denis Lalanne

Keyword(s):

Data Analysis ◽

Knowledge Discovery ◽

Automatic Data ◽

Complementary Role ◽

Automatic Data Analysis

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Automatic data analysis of film dosemetry on narrow photon beams

Japanese Journal of Radiological Technology ◽

10.6009/jjrt.kj00001351733 ◽

1998 ◽

Vol 54 (1) ◽

pp. 63

Author(s):

Takashi Kawahara ◽

Kenzou Mitou ◽

Harumi Okabe ◽

Toshiyuki Kotani

Keyword(s):

Data Analysis ◽

Photon Beams ◽

Automatic Data ◽

Automatic Data Analysis

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Automatic Intelligent Data Analysis

Intelligent Data Analysis ◽

10.4018/978-1-59904-982-3.ch001 ◽

2009 ◽

pp. 1-17

Author(s):

Martin Spott ◽

Detlef Nauck

Keyword(s):

Data Analysis ◽

Knowledge Base ◽

Expert Knowledge ◽

Soft Constraints ◽

Intelligent Data Analysis ◽

Automatic Data ◽

Analysis Methods ◽

Automatic Data Analysis ◽

Data Analysis Methods ◽

Fuzzy Knowledge

This chapter introduces a new way of using soft constraints for selecting data analysis methods that match certain user requirements. It presents a software platform for automatic data analysis that uses a fuzzy knowledge base for automatically selecting and executing data analysis methods. In order to support business users in running data analysis projects the analytical process must be automated as much as possible. The authors argue that previous approaches based on the formalisation of analytical processes were less successful because selecting and running analytical methods is very much an experience-led heuristic process. The authors show that a system based on a fuzzy knowledge base that stores heuristic expert knowledge about data analysis can successfully lead to automatic intelligent data analysis.

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