1. 1 DATA MINING: INVESTIGATING IVF MODELS

2. 2 l 9% of married couples in the US are medically infertile (age 15-44) = 2.3 million couples. l An additional 19% of couples have impaired ability to have children. l Total = ~7.2 million couples From 1998 National report from Center for Disease Control Why IVF?

3. 3 IVF Procedure:

4. 4 Many diagnoses:

5. 5 Concerns: Less than 1/3 of IVF cycles are successful.

6. 6 Concerns: Less than 20% of cycles result in single pregnancy.

7. 7 Concerns: Usually many embryos are transferred.

8. 8 Concerns: Some result in multiple births.

9. 9 Concerns: How to predict individual patient results.

10. 10 The Data: 12 months of statistics from 678 cycles. Over 100 attributes for each record.

11. 11 The Data: Procedural includes info on drug protocols, #oocytes, #blasts, embryo transfer, trauma and other cycle specific data.

12. 12 The Data: Patient info includes patient specific data such as diagnosis, BMI, and age.

13. 13 The Data: Technology information includes incubators, doctors, ICSItech, and catheter type among others. ICSI (intracytoplasmic sperm injection)

14. 14 Data Mining: A cyclical procedure.

15. 15 Data Understanding & Cleaning: # > or = 6 Cell Diagnoses Day of Embryo Transfer

16. 16 Sensitivity analysis using entropy reduction: Entropy formula:

17. 17

18. 18 Model Assessment:

19. 19 DATA MINING: INVESTIGATING IVF MODELS