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Irish Child Health Database - Peer Reviewed Papers

Database Search

How to use this database.

• Method 1- uses a free natural language approach.

  After choosing the object of the search – by ticking title, abstract, aims and objective, or author - enter a term, word or name in the ‘Search’ box to return references answering your research question.

• Method 2 - utilises key words.

  Those key words assigned from thesauruses of controlled vocabulary by the trained coders of international bibliographic databases.
  The controlled vocabularies key word are listed alphanumerically under 'Bibliographic database keywords' .
  Use the drop down menu to identity which 'key words' you are interested in to return references to answer your research question.

• Method 3 - is based on the indexing system

  developed by the researchers who compiled this database.
  It adopts a thematic approach to mapping Irish child health research. The themed areas represent outcomes mapped to the International Classification of Disease version 10 (ICD-10) or one of 23 other health-related themed outcomes. Themes are defined in Tables 5 to 7 (of the study report).
  Use the alphabetic drop down menu under ‘ICD-10 or themed health-related outcomes’ to identity which themed areas you are interested in to select references to answer your research question.

• Method 4 – allows papers to be searched by Study type.

  Indexing by study type offers a valuable insight into understanding the population impact of the topic of interest. More than 20 study types were identified across the 2,152 study papers. These are defined in Table 3 (of the study report). Within 'Study type' papers are further stratification by geographical region (Table 49), topic area of interest and study aims and objectives.
  Click on 'Study type' to select the type of study of interest, progressively select sub-categories by topic area or other sub-classification of interest to answer your research question.

The complete background, methods and findings from this mapping exercise are detailed in the study report.

Neural Networks (Computer)

Your search returns 1 documents

• 1.   Multi-channel EEG based neonatal seizure detection

  This study aimed to describe a multi-channel method for patient specific and patient independent, EEG based neonatal seizure detection

  

  Abstract:

  A multi-channel method for patient specific and patient independent, EEG based neonatal seizure detection is presented. Two classifier configurations are proposed and tested, along with a number of classifier models. Existing methods for neonatal seizure detection have been empirical threshold based or based on a single EEG channel. The optimum patient specific classifier for EEG based more...

  International Classification:

  Effectiveness of measurement tool - EEG based neonatal seizure detection

  Categories:

  EEG based neonatal seizure detection

  Geography:

  Republic of Ireland and the United Kingdom

  Conf Proc IEEE Eng Med Biol Soc, Vol: 1 Page: 4679-84 2006
  B. R. Greene; R. B. Reilly; G. Boylan; P. de Chazal; S. Connolly

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