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.
翻译:乙型六氯环己烷通常包括受控制的卵巢刺激、卵细胞回收、在实验室内施肥以及随后的胚胎转移。前两个步骤与雌性胎儿的卵巢阶段和经期排卵相适应。因此,我们在本文中将其称为治疗周期。治疗周期至关重要,因为乙型六氯环己烷治疗中的刺激药物直接适用于病人。为了优化刺激效应并降低刺激药物的副作用,需要迅速进行治疗调整。此外,所回收的卵细胞的质量和数量对以下程序的结果有重大影响。为了提高乙型六氯环己烷的成功率,我们提议了一个基于知识的决策支助系统,就治疗规程提供医疗咨询,并对IVF治疗周期期间每次病人的检查进行药物调整。我们的系统在数据处理和轻量化方面十分有效,可以很容易地嵌入电子医疗记录系统。此外,对水细胞进行检索的评估显示,我们的系统在协议和药物建议准确性方面表现良好。