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Uporaba odločitvenih dreves s popolno uporabo mehkih množic za klasifikacijo Alzheimerjeve bolezniHleb Babič, Špela ; Kokol, Peter, 1957-V sodobni medicini je problem Alzheimerjeve bolezni relativno težak, saj se simptomi bolezni skoraj ujemajo s simptomi, ki jih kažejo bolniki po preživelimanjši možganski kapi. Ker zdravniki s ... klasičnimi metodami šele po enem letu opazovanja lahko opredelijo bolezen, smo v sodelovanju z njimi oblikovali podatkovno bazo, v kateri so že opredeljeni pacienti. Na podlagi rešenih primerov smo nato uporabili različne metode avtomatskega učenja in inteligentnih sistemov za pomoč pri odločanju. V prispevku opisujemo orodje, ki uporablja odločitvena drevesa, ki so relativno znana in pogosto uporabljana, saj so primerne za zajemanje znanja iz velike količine podatkov. Njihova slabost je velika občutljivost na delitve intervalov numeričnih atributov, zato smo uporabili teorijo mehkih množic (fuzzy sets theory) in jo vključili v gradnjo drevesa in postopek odločanja. S pomočjo programskega paketa Matlab smo zgradili orodje, ki omogoča opredelitev mehkih atributov, učenja drevesa, odločanje in testiranje pravilnosti odločitev. Rezultati so pokazali primernost pristopa, saj so mehki odločitveni rezultati za odločanje o realnem medicinskem problemu velikokral mnogo bolj primerni kot strogo diskretni rezultati.Source: Informatica medica slovenica. - ISSN 1318-2129 (Letn. 6, št. 1/2/3/4, 2000, str. 43-47)Type of material - article, component partPublish date - 2000Language - slovenianCOBISS.SI-ID - 12208601
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Hleb Babič, Špela | 15327 |
Kokol, Peter, 1957- | 03782 |
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