Beth Bjerregaard

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OBJECTIVE To demonstrate and compare the application of different genetic programming (GP) based intelligent methodologies for the construction of rule-based systems in two medical domains: the diagnosis of aphasia's subtypes and the classification of pap-smear examinations. MATERIAL Past data representing (a) successful diagnosis of aphasia's subtypes(More)
This paper demonstrates two methodologies for the construction of rule-based systems in medical decision making. The first approach consists of a method combining genetic programming and heuristic hierarchical rule-base construction. The second model is composed by a strongly-typed genetic programming system for the generation of fuzzy rule-based systems.(More)
Diagnostic histological and cytological specimens are routinely stored in pathology department archives. These biobanks are a valuable research resource for many diseases, particularly if they can be linked to high quality population-based health registries, allowing large retrospective epidemiological studies to be carried out. Such studies are of(More)
The paper suggests the combined use of different computational intelligence (CI) techniques in a hybrid scheme, as an effective approach to medical diagnosis. Getting to know the advantages and disadvantages of each computational intelligence technique in the recent years, the time has come for proposing successful combinations of CI tools and techniques(More)
Prior research suggests that homicide cases involving familial offenders and victims are subject to a "domestic discount" that reduces sentencing severity. However, the operation of a domestic discount in regard to death penalty sentencing has been rarely examined. The current research uses a near-population of jury decisions in capital murder trials(More)
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