TY - JOUR T1 - HYPOTHYROIDI AND HYPERTHYROIDI DETECTION FROM THYROID HORMONE PARAMETERS BY USING DECISION TREES TT - KARAR AĞACI YÖNTEMİNİ KULLANARAK TİROİD HORMON PARAMETRELERİNDEN HİPERTİROİDİ VE HİPOTİROİDİ TEŞHİSİ AU - Doğan, Şengül AU - Türkoğlu, İbrahim PY - 2007 DA - March JF - Fırat Üniversitesi Doğu Araştırmaları Dergisi JO - (DAD) PB - Fırat University WT - DergiPark SN - 1303-4618 SP - 163 EP - 169 VL - 5 IS - 2 LA - en AB - In this study a decision support system has beenprojected from the biochemistry blood parameters which will be very helpful andwill make everything easier for the physicians in the diagnosis ofHyperthyroidi and Hypothyroidi. Based on pattern recognition process, thesystem operation is achieved via the decision trees structure which is relatedas one of the data mining techniques. The basic characteristic of the thyroidhormone parameters that is, TSH, FT3, FT4, TT3 and TT4 parameters are used inthe process of entering the system and finally Hyper(+),Hypo(+) and (-) results have been evaluated at the end of this process. Data of120 patients are evaluated in the projected system. The results of the decisionsupport system have completely matched with those of the physicians’ decisions. KW - Pattern Recognition KW - Data Mining KW - Decision Trees KW - Tyhroid Hormones KW - Expert System N2 - Buçalışmada, biyokimya test sonuçlarından Hipertiroidi ve Hipotiroidi teşhisinde,hekime yardımcı olacak ve kolaylık sağlayacak bir karar destek sistemitasarlanmıştır. 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