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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Machine learning 30 (1998), S. 241-270 
    ISSN: 0885-6125
    Keywords: inductive logic programming ; pharmacophore ; structure-activity prediction
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This paper presents a case study of a machine-aided knowledge discovery process within the general area of drug design. Within drug design, the particular problem of pharmacophore discovery is isolated, and the Inductive Logic Programming (ILP) system progol is applied to the problem of identifying potential pharmacophores for ACE inhibition. The case study reported in this paper supports four general lessons for machine learning and knowledge discovery, as well as more specific lessons for pharmacophore discovery, for Inductive Logic Programming, and for ACE inhibition. The general lessons for machine learning and knowledge discovery are as follows. 1. An initial rediscovery step is a useful tool when approaching a new application domain. 2. General machine learning heuristics may fail to match the details of an application domain, but it may be possible to successfully apply a heuristic-based algorithm in spite of the mismatch. 3. A complete search for all plausible hypotheses can provide useful information to a user, although experimentation may be required to choose between competing hypotheses. 4. A declarative knowledge representation facilitates the development and debugging of background knowledge in collaboration with a domain expert, as well as the communication of final results.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Applied psychophysiology and biofeedback 7 (1982), S. 237-238 
    ISSN: 1573-3270
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Journal of behavioral medicine 11 (1988), S. 71-82 
    ISSN: 1573-3521
    Keywords: self-monitoring ; chronic pain ; pain intensity ; cognitive-behavioral assessment
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine , Psychology
    Notes: Abstract A procedure for the evaluation of fluctuations in perceived pain intensity among chronic pain patients is described, and its psychometric properties and clinical and heuristic utility are examined. A heterogeneous sample of 97 chronic pain patients recorded 2 weeks of hourly self-monitored pain intensity (SMPI), completed a structured interview and several questionnaires, and established behavioral goals prior to participation in a pain rehabilitation program. Three variables were derived from the SMPI data: mean SMPI, variability, and number of missing observations. A series of analyses supported both the test-retest reliability and the concurrent validity of SMPI. Significant correlations with measures of depression, anxiety, marital satisfaction, perceived life interference, and activity levels were interpreted as support for the conceptual validity of SMPI within a cognitive-behavioral perspective. The utility of SMPI in predicting rehabilitation outcomes was also demonstrated.
    Type of Medium: Electronic Resource
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