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1 ا ا ا ﺟﺎﻣﻌﺔ اﻟﻨﻴﻠﻴﻦ ﻛﻠﻴﺔ ﻋﻠﻮم اﻟﺤﺎﺳﻮب وﺗﻘﺎﻧﺔ اﻟﻤﻌﻠﻮﻣﺎت ﻣﺎﺟﺴﺘﻴﺮ ﺗﻘﺎﻧﺔ اﻟﻤﻌﻠﻮﻣﺎت اﻟﻤﺠﻤﻮﻋﺔ اﻟﺜﺎﻧﻴﺔModel By Weka (Echocardiogram Data) Using Classification Model (Desion Tree) ﺑﻴﺎﻧﺎت ﺗﺨﻄﻴﻂ اﻟﻘﻠﺐاد ا إ: ﺻﻔﻴﻪ ﻧﺎﺟﺢ ﻧﻮري اﻟﺒﺪرياف إ: دﻛﺘﻮر ﻣﺤﻤﺪ ﻋﺜﻤﺎن ﻋﻠﻲ ﺣﺠﺎزي

Weka project - DataMining

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Weka project - DataMining بإستخدام بيانات تخطيط القلب من إحدى المستشفيات

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ا ا ا

جامعة النيلين

كلية علوم الحاسوب وتقانة المعلومات

ماجستير تقانة المعلومات

المجموعة الثانية

ModelByWeka(EchocardiogramData)UsingClassificationModel(DesionTree)

بيانات تخطيط القلب

اد اإ:

صفيه ناجح نوري البدري

:إاف

دكتور محمد عثمان علي حجازي

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يوجد الكثير من المرضى الذين عانو من النوبات القلبيه في مرحلة ما في

حياتهم ، بعض المرضى اليزالون على قيد الحياة وبعضهم ال ، فبأخذ العديد من

المتغيرات مع بعضها البعض يمكن التنبؤ إذا كان المريض سيبقى على قيد الحياة

. م ال لمدة سنة واحد على األقل بعد النوبه القلبيه أ

هل سيبقى (المشكله التي تواجه الباحثون هي التبؤ من المتغيرات األخرى

، أصعب جزء من هذه ) على قيد الحياه مدة سنه واحده على األقل أم ال ؟

وحجم مجموعة (المشكله هو التنبؤ بشكل صحيح بأن المريض لن ينجو

) .البيانات هو جزء من الصعوبه

DataSet:EchocardiogramData

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Number of Attributes: 12 Attribute Information: 1.(survival): the number of months patient survived (has survived, if patient is still alive). Because all the patients had their heart attacks at different times, it is possible that some patients have survived less than one year but they are still alive. Check the second variable to confirm this. Such patients cannot be used for the prediction task mentioned above. 2.(still-alive):a binary variable. D=dead at end of survival period, L means still alive . 3.(ageatheartattack): age in years when heart attack occurred. 4.(pericardialeffusion): binary. Pericardial effusion is fluid. around the heart. 0=no �luid, 1=�luid . 5.(fractionalshortening): a measure of contracility around the heart lower numbers are increasingly abnormal . 6.(epss): E-point septal separation, another measure of contractility. Larger numbers are increasingly abnormal. 7.(lvdd): left ventricular end-diastolic dimension. This is a measure of the size of the heart at end-diastole. Large hearts tend to be sick hearts. 8.(wallmotionscore): a measure of how the segments of the left ventricle are moving . 9.(wallmotionindex):equals wall-motion-score divided by number of segments seen. Usually 12-13 segments are seen in an echocardiogram. Use this variable INSTEAD of the wall motion score. 10.(mult): a derivate var which can be ignored . 11.(group): meaningless, ignore it . 12.(aliveatone)(class): Derived from the first two attributes. (N) means patient was either dead after 1 year or had been followed for less than 1 year. (Y) means patient was alive at 1 year. Distribution of attribute number 2: still-alive Value Number of instances with this value ---- ----------------------------------- D 40 (dead) L 21 (alive) Total 61

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Distribution of attribute number 13: alive-at-1 Value Number of instances with this value ---- ----------------------------------- N 44 Y 17 Total 61 TheApplication:

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VisualizeAll:

Discretize:

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ApplyDiscretize:

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VisualizeAllAfterDescrize:

ClassifyUsingTree(J48):

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SelectTheClassAttribute:

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ClassifyOutput:

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VisualizeTree:

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TreeView:

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VisualizeClassifierErrors:

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SelectAttributes:

Visualize:

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KnowledgeFlow:

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Model(1):

ResultofModel(1):

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ResultofModel(2)UsingTextViewer:

Model(2):

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ResultOfModel:

Distribution of attribute number still-alive Value Number of instances with this value No = 24.0 . Yes = 14.0/2.0 .

ResultofModel(2)UsingGraphViewer: