Kazem Sadegh-Zadeh

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The concept of medical diagnosis is reconstructed and its syntax, semantics, and pragmatics are analyzed. It is shown that medical diagnosis is relative to a complex diagnostic structure part of which are the method of diagnostic reasoning and the knowledge base used. Clinical knowledge-based systems research is interpreted as the advent of an engineering(More)
Because of its unorthodoxy, it has been and will continue to be controversial for some time. Eventually, though, the theory of fuzzy sets is likely to be recognized as a natural development in the evolution of scienti®c thinking. In retrospect, the skepticism about its usefulness will be viewed as a manifestation of the human attachment to tradition and(More)
A metric space - dubbed the fuzzy polynucleotide space - is presented for diagnostic purposes in the widest sense to measure the degree of difference and similarity between sequences of nucleic acids. To this end, these acids are transformed to ordered fuzzy sets. They thus become representable as points in n-dimensional unit hypercubes that may be endowed(More)
Intelligent clinical judgement is one of the main goals of medical artificial intelligence. To achieve that goal requires a reliable nosological language. Such a language is not yet available, however. In this paper the notions of health, disease, and nosology are analyzed. It is shown that health and disease as generic concepts, and also individual disease(More)
Progress in the theory and practice of artificial intelligence in medicine requires awareness of basic issues in medical problem solving. To stimulate discussion and research on this subject, in a series of articles some logical, methodological and meta-theoretical problems of clinical practice will be studied. The present paper reconstructs clinical(More)
The concept of etiology is analyzed and the possibilities and limitations of deterministic, probabilistic, and fuzzy etiology are explored. Different kinds of formal structures for the relation of causation are introduced which enable us to explicate the notion of cause on qualitative, comparative, and quantitative levels. The conceptual framework developed(More)