Big Data Analysis and Quality Control of Assisted Reproductive Technology Based on Association Rule Mining

Reproductive medicine has made continuous progress with the development of modern medicine. In China, the development of assisted reproductive technology is not mature, and there is a lack of a systematic and scientific nursing management model. Assisted reproductive technology is an important means of diagnosis and treatment of infertility. With the development of science, a series of new technologies in this field have developed rapidly and new technologies have been born. Assisted reproductive technology based on in vitro fertilization and embryo transfer has opened up an assisted reproductive pathway for infertile women, but the clinical pregnancy rate has been low. The establishment, design and laboratory quality control system of in vitro fertilization and embryo transfer laboratory is an important part of assisted reproductive technology. The purpose of laboratory quality control is to formulate a series of measures to maintain the stability of IVF process and ensure the stability of used instruments, equipment, culture medium and materials, which is the basis of quality assurance. The factors affecting the success of clinical pregnancy are not only the superovulation scheme and egg quality, but also the laboratory culture system. Combined with clinical nursing experience, this paper discusses the nursing management of assisted reproductive technology.