In Vitro Fertilization (IVF) is the most widely used Assisted Reproductive
Technology (ART). IVF usually involves controlled ovarian stimulation, oocyte
retrieval, fertilization in the laboratory with subsequent embryo transfer. The
first two steps correspond with follicular phase of females and ovulation in
their menstrual cycle. Therefore, we refer to it as the treatment cycle in our
paper. The treatment cycle is crucial because the stimulation medications in
IVF treatment are applied directly on patients. In order to optimize the
stimulation effects and lower the side effects of the stimulation medications,
prompt treatment adjustments are in need. In addition, the quality and quantity
of the retrieved oocytes have a significant effect on the outcome of the
following procedures. To improve the IVF success rate, we propose a
knowledge-based decision support system that can provide medical advice on the
treatment protocol and medication adjustment for each patient visit during IVF
treatment cycle. Our system is efficient in data processing and light-weighted
which can be easily embedded into electronic medical record systems. Moreover,
an oocyte retrieval oriented evaluation demonstrates that our system performs
well in terms of accuracy of advice for the protocols and medications.

为了提高试管婴儿的成功率，我们提出了一种基于知识的决策支持系统，它可以在整个治疗周期中为每次患者访问提供治疗方案和药物调整的医疗建议，并且在卵子检索方面的评估表明，该系统在协议和药物建议的准确性方面表现良好。