Analyzing diaries for analytical relapse prevention using natural induction: a method and preliminary results

This article briefly describes natural induction approach to knowledge discovery, and then applies it to the problem of bad habit relapse prevention by analyzing patients' diaries. Natural induction seeks patterns in data that are in forms easy to understand and interpret, because they resemble...

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Bibliographic Details
Published inQuality management in health care Vol. 17; no. 1; p. 80
Main Authors Wojtusiak, Janusz, Michalski, Ryszard S
Format Journal Article
LanguageEnglish
Published United States 01.01.2008
Subjects
Algorithms
Health Behavior
Health Knowledge, Attitudes, Practice
Humans
Obesity - prevention & control
Patient Participation - methods
Recurrence
Statistics as Topic - methods
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Summary:This article briefly describes natural induction approach to knowledge discovery, and then applies it to the problem of bad habit relapse prevention by analyzing patients' diaries. Natural induction seeks patterns in data that are in forms easy to understand and interpret, because they resemble those in which humans represent knowledge, such as natural language descriptions and visual forms. The application of natural induction to the problem of bad habit relapse has produced patterns easy to understand, in some cases of surprising simplicity.
ISSN:1063-8628
DOI:10.1097/01.QMH.0000308640.89602.b1