1. Gülden Olgun 1

2. Problem Definition Situtation of the non-renal patients after bypass surgery Increase in the serum creatinine concentration or azotemia(blood urea nitrogen[BUN]) 2

3. Outline Problem Definition Introduction Feature Selection Methodology for preop/postop Analysis of the R-Project and Knime Results Demo Conclusion 3

4. Acute Renal Failure Abrupt or rapid decline in renal filtration function Rise in serum creatinine concentration Rise in blood urea nitrogen – BUN- concentration Have high Potassium level 4

5. Creatinine - BUN Creatinine Breakdown product of creatine Normal results*: adults  W : 0.66 – 1.09 mg/dL M(<50 age): 0.84 – 1.25 mg/dL (>50 age): 0.81 – 1.44 mg/dL BUN Breakdown product of protein Normal results*: adults  W- M : 7.9 – 21 mg/dL > 60 age : 8 – 23 mg/dL 5 * http://merkezlab.erciyes.edu.tr/biyokimya/referans.htm

6. Coronary Artery Bypass Graft Reroute the blood flow through a new artery Requires open-chest surgery Increase the BUN, creatinine Cause acute renal failure 6

7. Feature Selection(Cardio Dataset) Renal Features PreStatus5(70): Preop. acute renal failure RenalYetmezlik(85) Renal(751): renal failure, requirement of dialysis MortalitePrimerNeden12(842): Mortalite due to renal failure Bypass Features PeriferikArterHastalık(92) OperasyonGrup0(358): Coroner Bypass Surgery Creatinine Features SonPreopKreatinin(86) 7

8. Feature Selection(Laboratuar dataset) Dosya_No Preoperatif/PostOperatif BUN Kreatinin Urik_Asit Sodyum Potasyum 8

9. Methodology PreOperation: 10 fold Decision Tree SVM Naive Bayes Learner PostOperation: Bypass patients SVM Decision Tree Non-bypass patients SVM Decision Tree 9

10. Preprocess Preprocess for preoperation Use patients’ ids which occur in both dataset(cardio and lab) -> R project Preprocess for post operation Get ids of patients whose operation is bypass and non- bypass 10

11. Knime(Preoperation) 11 Decision tree for PreStatus5 (Acute Renal Failure before bypass surgery)

12. R-Project(Preoperation) 12 Decision tree for PreStatus5 (Acute Renal Failure before bypass surgery)

13. R-Project 1) root 9739 476 False (0.0337817024 0.9511243454 0.0150939522) 2) SonPreopKreatinin< 2.5 9592 356 False (0.0342994162 0.9628857381 0.0028148457) 4) OperasyonGrup0= 353 158 False (0.4419263456 0.5524079320 0.0056657224) 8) SonPreopKreatinin< 1.5 348 157 False (0.4482758621 0.5488505747 0.0028735632) 16) RenalYetmezlik< -0.5 273 117 (0.5714285714 0.4285714286 0.0000000000) * 17) RenalYetmezlik>=-0.5 75 1 False (0.0000000000 0.9866666667 0.0133333333) * 9) SonPreopKreatinin>=1.5 5 1 False (0.0000000000 0.8000000000 0.2000000000) * 5) OperasyonGrup0=False,True 9239 198 False (0.0187249702 0.9785691092 0.0027059206) 10) RenalYetmezlik< 1.5 9207 178 False (0.0187900510 0.9806668839 0.0005430651) * 11) RenalYetmezlik>=1.5 32 12 True (0.0000000000 0.3750000000 0.6250000000) * 3) SonPreopKreatinin>=2.5 147 27 True (0.0000000000 0.1836734694 0.8163265306) * 13

14. R-Project(Postoperation) 14 Normal results: Sodyum  Adults: 136-146 BUN  Adults: 7,9 - 21

15. Knime (Postoperation) For Bypass Patients Normal Results: Potassium -> Adults: 3.5 – 5.1 mmol/L BUN  Adults: 7,9 - 21 15

16. Knime (Postoperation) For bypass Patients (without BUN) 16

17. Knime Preoperation: 17

18. Knime Postoperation 18

19. Knime For non-bypass patients 19

20. BUN-Creatinine-Potassium-Sodium 20 Bypass patientsNon-bypas patients

21. Conclusion High correlation between OperasyonGrup0 and PreStatus5 Sodium and BUN relation in bypass patients 21