Tens of millions of women suffer from infertility worldwide each year. In vitro fertilization (IVF) is the best choice for many such patients. However, IVF is expensive, time-consuming, and both physically and emotionally demanding. The first question that a patient usually asks before the IVF is how likely she will conceive, given her basic medical examination information. This paper proposes three approaches to predict the cumulative pregnancy rate after multiple oocyte pickup cycles. Experiments on 11,190 patients showed that first clustering the patients into different groups and then building a support vector machine model for each group can achieve the best overall performance. Our model could be a quick and economic approach for reliably estimating the cumulative pregnancy rate for a patient, given only her basic medical examination information, well before starting the actual IVF procedure. The predictions can help the patient make optimal decisions on whether to use her own oocyte or donor oocyte, how many oocyte pickup cycles she may need, whether to use embryo frozen, etc. They will also reduce the patient's cost and time to pregnancy, and improve her quality of life.

Summary: This is my favorite IoT story. We are so used to IoT platforms being physical objects that we forget about the potential for biologics. In terms of direct economic reward little will compare to this story about the IoT and cows. This is my favorite IoT story which I first heard from Joseph Sirosh, CVP of Machine Learning for Microsoft at the spring Strata convention in San Jose. We are so used to IoT platforms being physical objects like cars or thermostats or gaming consoles that we forget about the potential for biologics.

CANBERRA, Australia--A weekend spent mothering a robot baby to mirror the "real experience" of parenting is meant to discourage teenage girls from getting pregnant. But so-called Baby Think it Over dolls don't cut teen pregnancy rates and in fact increase the risk, Australian research has found. In a study published in The Lancet medical journal Friday, researchers found teenage girls who used the lifelike computerized dolls as part of a pregnancy-prevention program were more likely to become pregnant compared with girls receiving a less high-tech sex education. "The program was supposed to put students off and then they would take extra steps not to get pregnant," said study author Sally Brinkman, of the Telethon Kids Institute in Western Australia. "Unfortunately, and surprisingly for us, the intervention we can say definitely didn't work and it actually seemed to increase the pregnancy rates.