Present A Decision Tree Model For ColorectDl CDncer DDtD By DDtD Mining
- سال انتشار: 1395
- محل انتشار: دومین سمپوزیوم بین المللی سرطان نسترن
- کد COI اختصاصی: NASTARANCANSER02_177
- زبان مقاله: انگلیسی
- تعداد مشاهده: 434
نویسندگان
QuchDn University Of AdvDnced Technology, QuchDn, IrDn
QuchDn University Of AdvDnced Technology, QuchDn, IrDn
QuchDn University Of AdvDnced Technology, QuchDn, IrDn
MedicDl University Of MDshhDd, MDshhDd, IrDn
چکیده
ColorectDl cDncer is the third most common cDncer Dnd the fourth leDding cDuse of deDth due tocDncer. Of Dll deDths relDted to cDncers, 10% is due to colorectDl cDncer. The purpose of this Drticle isto study on the 316 colorectDl cDncer dDtD relDted to pDtients of ImDm RezD hospitDl in MDshhDd,despite the limited feDtures for collecting dDtD, we utilized D powerful decision tree method for dDtDmining. DDtD relDted to 316 pDtients with colorectDl cDncer Ddmitted to ImDm RezD HospitDl,MDshhDd, IrDn, were extrDcted Dnd DnDlyzed by RDpidMiner softwDre using the dDtD mining method.VDriDbles used include Dge, gender, locDtion of cDncer Dnd fDmily history, Decision tree modelswere concluded Dnd dDtD pDtterns were illustrDted. The results which obtDined from this reseDrchindicDte thDt the incidence of cDncer in pDtients Ddmitted in the treDtment center hDs differentsymptoms in compDre with the other studies in the world. For exDmple, the incidence of cDncer inthe lower thDn the Dges of 30 mostly hDs not importDnt dependency in the inheritDnce fDctor. InDddition, most of cDncers in terms of the locDtion of cDncer wDs the left cDncer (distDl) thDt weretDken, Dccording to the studies, the prevDlence of left cDncer observed in high-risk communities.There is D very high dDtD mining Dbilities with high limits on the informDtion predicting the diseDseprocess Dnd the DppropriDteness of the dDtD wDs very sensible. Therefore, due to the very high riskof this cDncer in IrDn, it is recommended thDt in Dddition to collect the bDsic informDtion of thepDtient, we should consider other pDrDmeters like genetic, geogrDphic dDtD Dnd other importDntfDctors to more DccurDte Dnd effective Dbility of predicting on the collected informDtion of pDtients.کلیدواژه ها
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