Using XML and XSLT for flexible elicitation of mental-health risk knowledge

C.D. Buckingham*, A. Ahmed, A.E. Adams

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Current tools for assessing risks associated with mental-health problems require assessors to make high-level judgements based on clinical experience. This paper describes how new technologies can enhance qualitative research methods to identify lower-level cues underlying these judgements, which can be collected by people without a specialist mental-health background. Content analysis of interviews with 46 multidisciplinary mental-health experts exposed the cues and their interrelationships, which were represented by a mind map using software that stores maps as XML. All 46 mind maps were integrated into a single XML knowledge structure and analysed by a Lisp program to generate quantitative information about the numbers of experts associated with each part of it. The knowledge was refined by the experts, using software developed in Flash to record their collective views within the XML itself. These views specified how the XML should be transformed by XSLT, a technology for rendering XML, which resulted in a validated hierarchical knowledge structure associating patient cues with risks. Changing knowledge elicitation requirements were accommodated by flexible transformations of XML data using XSLT, which also facilitated generation of multiple data-gathering tools suiting different assessment circumstances and levels of mental-health knowledge.

Original languageEnglish
Pages (from-to)65-81
Number of pages17
JournalMedical Informatics and the Internet in Medicine
Volume32
Issue number1
DOIs
Publication statusPublished - Dec 2007

Fingerprint

Mental Health
Cues
Software
Technology
Qualitative Research
Health Status
Interviews

Keywords

  • knowledge engineering
  • mental-health risk assessment
  • mind maps
  • XML
  • XSLT

Cite this

@article{6b0ec905e4754e5d9f00ad5fb1e5c05f,
title = "Using XML and XSLT for flexible elicitation of mental-health risk knowledge",
abstract = "Current tools for assessing risks associated with mental-health problems require assessors to make high-level judgements based on clinical experience. This paper describes how new technologies can enhance qualitative research methods to identify lower-level cues underlying these judgements, which can be collected by people without a specialist mental-health background. Content analysis of interviews with 46 multidisciplinary mental-health experts exposed the cues and their interrelationships, which were represented by a mind map using software that stores maps as XML. All 46 mind maps were integrated into a single XML knowledge structure and analysed by a Lisp program to generate quantitative information about the numbers of experts associated with each part of it. The knowledge was refined by the experts, using software developed in Flash to record their collective views within the XML itself. These views specified how the XML should be transformed by XSLT, a technology for rendering XML, which resulted in a validated hierarchical knowledge structure associating patient cues with risks. Changing knowledge elicitation requirements were accommodated by flexible transformations of XML data using XSLT, which also facilitated generation of multiple data-gathering tools suiting different assessment circumstances and levels of mental-health knowledge.",
keywords = "knowledge engineering, mental-health risk assessment, mind maps, XML, XSLT",
author = "C.D. Buckingham and A. Ahmed and A.E. Adams",
year = "2007",
month = "12",
doi = "10.1080/14639230601097895",
language = "English",
volume = "32",
pages = "65--81",
journal = "Medical Informatics and the Internet in Medicine",
issn = "1463-9238",
publisher = "Taylor & Francis",
number = "1",

}

Using XML and XSLT for flexible elicitation of mental-health risk knowledge. / Buckingham, C.D.; Ahmed, A.; Adams, A.E.

In: Medical Informatics and the Internet in Medicine, Vol. 32, No. 1, 12.2007, p. 65-81.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Using XML and XSLT for flexible elicitation of mental-health risk knowledge

AU - Buckingham, C.D.

AU - Ahmed, A.

AU - Adams, A.E.

PY - 2007/12

Y1 - 2007/12

N2 - Current tools for assessing risks associated with mental-health problems require assessors to make high-level judgements based on clinical experience. This paper describes how new technologies can enhance qualitative research methods to identify lower-level cues underlying these judgements, which can be collected by people without a specialist mental-health background. Content analysis of interviews with 46 multidisciplinary mental-health experts exposed the cues and their interrelationships, which were represented by a mind map using software that stores maps as XML. All 46 mind maps were integrated into a single XML knowledge structure and analysed by a Lisp program to generate quantitative information about the numbers of experts associated with each part of it. The knowledge was refined by the experts, using software developed in Flash to record their collective views within the XML itself. These views specified how the XML should be transformed by XSLT, a technology for rendering XML, which resulted in a validated hierarchical knowledge structure associating patient cues with risks. Changing knowledge elicitation requirements were accommodated by flexible transformations of XML data using XSLT, which also facilitated generation of multiple data-gathering tools suiting different assessment circumstances and levels of mental-health knowledge.

AB - Current tools for assessing risks associated with mental-health problems require assessors to make high-level judgements based on clinical experience. This paper describes how new technologies can enhance qualitative research methods to identify lower-level cues underlying these judgements, which can be collected by people without a specialist mental-health background. Content analysis of interviews with 46 multidisciplinary mental-health experts exposed the cues and their interrelationships, which were represented by a mind map using software that stores maps as XML. All 46 mind maps were integrated into a single XML knowledge structure and analysed by a Lisp program to generate quantitative information about the numbers of experts associated with each part of it. The knowledge was refined by the experts, using software developed in Flash to record their collective views within the XML itself. These views specified how the XML should be transformed by XSLT, a technology for rendering XML, which resulted in a validated hierarchical knowledge structure associating patient cues with risks. Changing knowledge elicitation requirements were accommodated by flexible transformations of XML data using XSLT, which also facilitated generation of multiple data-gathering tools suiting different assessment circumstances and levels of mental-health knowledge.

KW - knowledge engineering

KW - mental-health risk assessment

KW - mind maps

KW - XML

KW - XSLT

UR - http://www.scopus.com/inward/record.url?scp=80051769530&partnerID=8YFLogxK

UR - http://informahealthcare.com/doi/abs/10.1080/14639230601097895

U2 - 10.1080/14639230601097895

DO - 10.1080/14639230601097895

M3 - Article

AN - SCOPUS:80051769530

VL - 32

SP - 65

EP - 81

JO - Medical Informatics and the Internet in Medicine

JF - Medical Informatics and the Internet in Medicine

SN - 1463-9238

IS - 1

ER -