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Chapter 1 What's It All About? > 1.1DATA MINING AND MACHINE LEARNING - Pg. 1

CHAPTER What's It All About? 1 Human in vitro fertilization involves collecting several eggs from a woman's ovaries, which, after fertilization with partner or donor sperm, produce several embryos. Some of these are selected and transferred to the woman's uterus. The problem is to select the "best" embryos to use--the ones that are most likely to survive. Selection is based on around 60 recorded features of the embryos--char- acterizing their morphology, oocyte, follicle, and the sperm sample. The number of features is sufficiently large that it is difficult for an embryologist to assess them all simultaneously and correlate historical data with the crucial outcome of whether that embryo did or did not result in a live child. In a research project in England,