Data-Mining as a Methodology for Explaining Written Narratives
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Home > Society and Social Sciences > Social services and welfare, criminology > Social welfare and social services > Social work > Data-Mining as a Methodology for Explaining Written Narratives: An Application on Understanding the Breast Cancer Experience Among Hong Kong Chinese Women
Data-Mining as a Methodology for Explaining Written Narratives: An Application on Understanding the Breast Cancer Experience Among Hong Kong Chinese Women

Data-Mining as a Methodology for Explaining Written Narratives: An Application on Understanding the Breast Cancer Experience Among Hong Kong Chinese Women


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About the Book

This dissertation, "Data-mining as a Methodology for Explaining Written Narratives: an Application on Understanding the Breast Cancer Experience Among Hong Kong Chinese Women" by Wai, Fu, 符瑋, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled Data-mining as a methodology for explaining written narratives: an application on understanding the breast cancer experience among Hong Kong Chinese women. Submitted by Fu Wai For the degree of Doctor of Philosophy at the University of Hong Kong July 2007 The relationship between features in self-initiative written narratives and various mental health markers was investigated. 200 self-initiated writings on breast cancer experience by Chinese patients were collected. The narrative features in these written narratives were analyzed along side with participants' scores in various pre-intervention mental health markers and post-intervention one year follow up mental health markers. Clinical data mining procedure with subsequent investigative phenomenological analysis were adopted in this study. Six sections in cancer narratives, namely context, premonition, diagnosis, treatment, current status, and comment/ reflection, were identified. The word count in comment/reflection section is associated with post-traumatic growth. Negative end-tone of the narrative implies higher score in GHQ, Perceived Stress Scale, Hospital Anxiety and Depression Scale, and negative aspects in Chinese Coherence of Cancer Scale and Mini-MAC (Chinese version). Negative comments on people are closely linked to end-tone of the whole narrative, and anger is found to be the most detrimental to one's mental health. Unlike the case in Caucasian counterparts, Hong Kong Chinese subjects seldom write about sexuality issues in their cancer narratives. Those who believed that cancer is having a metaphysical root were having a larger support network indicated by Yale Social Support scale. The findings in this study provide lights on adopting self-initiated written cancer narratives as preliminary screening tools, and the implications of hermeneutic circle in post-traumatic growth are discussed. Results are discussed in light of the cognitive process theory and disinhibition theory. (237 words) DOI: 10.5353/th_b3955791 Subjects: Breast - Cancer - Personal narratives Breast - Cancer - Patients - Mental health - China - Hong Kong Data mining


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Product Details
  • ISBN-13: 9781374671560
  • Publisher: Open Dissertation Press
  • Publisher Imprint: Open Dissertation Press
  • Height: 279 mm
  • No of Pages: 196
  • Sub Title: An Application on Understanding the Breast Cancer Experience Among Hong Kong Chinese Women
  • Width: 216 mm
  • ISBN-10: 1374671568
  • Publisher Date: 27 Jan 2017
  • Binding: Paperback
  • Language: English
  • Spine Width: 11 mm
  • Weight: 467 gr


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Data-Mining as a Methodology for Explaining Written Narratives: An Application on Understanding the Breast Cancer Experience Among Hong Kong Chinese Women
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