A silver bullet? The role of radiology information system data mining in defining gunshot injury trends at a South African tertiary-level hospital

Objective: To evaluate the association between prematurity (by the gestational week [gw]) and ADHD during childhood. Method: Observational, matched cohort study using data from children born in a tertiary-level hospital (Hospital Universitari Vall d’Hebron, Catalonia, Spain) during 1995-2007 and data from the Information System for the Development of Research in Primary Health Care (SIDIAP database, Catalonia, Spain). Results: Prevalence of ADHD increases as gestational age decreases, 12.7% for those born ≤28 gw, compared to 3.2% for those born after the 37 gw. The risk of developing ADHD in the non-premature children tends to increase as the gw decreases (35-36 gw, hazard ratio [HR] = 1.70, 95% confidence interval [CI] [1.19, 2.44]; 33-34 gw, HR = 3.38, 95% CI [2.08, 5.50]; 29-32 gw, HR = 2.37, 95% CI [1.54, 3.63]; and ≤28 gw, HR = 5.57, 95% CI [2.49, 12.46]) Conclusion: Being born preterm is associated with a risk of developing ADHD, also in late preterm children (35-36 gw). Attention when taking care of these infants regarding their mental health must be made.

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Effective Data Mining for a Transportation Information System

Acta Polytechnica ◽

10.14311/931 ◽

2008 ◽

Vol 48 (1) ◽

Author(s):

P. Haluzová

Keyword(s):

Data Mining ◽

Information System ◽

Statistical Methods ◽

Association Rules ◽

Public Transit ◽

Data Set ◽

System Data ◽

Mining Methods

This paper describes the application of data mining methods in the database of the DORIS transportation information system, currently used by the Prague Public Transit Company. The goal is to create knowledge about the behavior of objects within this information system. Data is analyzed partly with the help of descriptive statistical methods, and partly with the help of association rules, which may discover common combinations of attributes that occur most frequently within a given data set. Two types of quantifiers were used when creating the association rules; namely “founded implication” and “above average”. The results of the analysis are presented in the form of graphs and hypotheses.

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Part 1: The role of waste data in building knowledge: The South African waste information system

Waste Management ◽

10.1016/j.wasman.2012.04.019 ◽

2012 ◽

Vol 32 (11) ◽

pp. 2154-2162 ◽

Cited By ~ 3

Author(s):

Linda Godfrey ◽

Dianne Scott ◽

Mark Difford ◽

Cristina Trois

Keyword(s):

Information System ◽

South African ◽

The South

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Data Mining for Information System Data

Process Mining Techniques in Business Environments - Lecture Notes in Business Information Processing ◽

10.1007/978-3-319-17482-2_4 ◽

2015 ◽

pp. 27-32 ◽

Cited By ~ 1

Author(s):

Andrea Burattin

Keyword(s):

Data Mining ◽

Information System ◽

System Data

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A Future ‘University of Namibia’?: the Rôle of the United Nations Institute for Namibia

The Journal of Modern African Studies ◽

10.1017/s0022278x00014798 ◽

1980 ◽

Vol 18 (4) ◽

pp. 675-683 ◽

Cited By ~ 3

Author(s):

Christian M. Rogerson

Keyword(s):

South African ◽

Tertiary Level ◽

Basic Information ◽

Social Concern ◽

The South ◽

Intellectual Community ◽

South West ◽

South West Africa ◽

People’S Organisation

In the making of a post-independence Namibian society, there are few areas of agreement between the contending parties in the contemporary struggle for power. Nevertheless, both the South-West Africa People's Organisation and the South African-backed Turnhalle groups have expressed the need to establish tertiary-level education in Namibia. The absence of a university and an associated intellectual community means that, in Richard Moorsom's words, ‘Namibian society lacks the essential means either of attracting social concern or transmitting basic information’. The ramifications of this are both sharply apparent and regrettable:

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