title: Preliminary medical diagnostics based on the fuzzy sets theory using the Sugeno measure
metadata.name: dc.contributor.author
metadata.value: Goncharova, Anastasiya B.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2020-03-05T12:59:16Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2020-03-05T12:59:16Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2019-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Goncharova A. B. Preliminary medical diagnostics based on the fuzzy sets theory using the Sugeno measure. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2019, vol. 15, iss. 4, pp. 529–543.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu10.2019.409
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/17162
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: When diagnoses a patient, it is necessary for a doctor to conduct a comprehensive and
  systematic study of the patient in order to collect anamnesis and objectively examine the
  patient’s condition, to conduct the laboratory, radiographic and other types of analyses
  research, as well as to take into account the presence of other diseases inpatient. Processing
  a large amount of information about the patient and correlating this information with the
  symptoms of various diseases, not always relevant to the particular physician specialization is
  a difficult task, which can be solved by the diagnostic support system, basing on the available
  information. The article proposes a method of diagnostics for given symptoms based on the
  theory of fuzzy sets. For a given set of symptoms expressed, a generalized diagnosis index
  is calculated using the Sugeno measure. Using the search for the maximum of generalized
  indicators, the most probable diagnosis is made.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 15; Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: fuzzy sets
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: fuzzy set
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Sugeno measure
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: decision support system
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: medical diagnostics
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: multicriteria choice
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: composite index
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Preliminary medical diagnostics based on the fuzzy sets theory using the Sugeno measure
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 529-543.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/17162/1/529-543.pdf
resources.format: Adobe PDF
resources.size: 360,98 kB