目的:百分之八十的体外受精(IVF)患者有较高的焦虑水平,这会影响IVF的成功并促使IVF患者迅速报告任何异常症状。生育亚专科医生的快速反应可能会降低患者的焦虑水平,但是生育亚专科医生的高工作量和他们的病人的健康状况恶化使他们无法迅速处理IVF病人的投诉。研究表明,使用基于案例的推理(CBR)的智能系统可以帮助医生快速处理患者。然而,之前的一项研究报告,通过基于Lin的相似性理论修改CBR相似性公式,生成基于Chris案例的推理(CCBR)相似性公式,提高了准确性.
方法:通过与两名生育亚专科医生的访谈来验证数据,采访了两名试管婴儿患者,向17名社区成员发放的问卷,相关文献,和256条记录,其中包含有关IVF患者投诉及其处理方式的数据。实验比较了CBR相似度公式算法和CCBR相似度公式算法的性能。
结果:混淆矩阵显示,CCBR相似度公式的准确度值为52.58%,准确度值为100%。生育亚专科医生表示,89.69%的CCBR相似性公式建议是准确的。
结论:我们建议将CCBR相似性公式和80%的最小参考值与CBR智能系统相结合,用于处理IVF患者的投诉。由CBR相似性公式产生的对准确系统的建议可能有助于生育亚专科医生处理IVF患者的投诉。
OBJECTIVE: Eighty percent of in vitro fertilization (IVF) patients have high anxiety levels, which influence the success of IVF and drive IVF patients to quickly report any abnormal symptoms. Rapid responses from fertility subspecialist
doctors may reduce patients\' anxiety levels, but fertility subspecialist
doctors\' high workload and their patients\' worsening health conditions make them unable to handle IVF patients\' complaints quickly. Research suggests that smart systems using
case-based reasoning (CBR) can help
doctors handle patients quickly. However, a prior study reported enhanced accuracy by modifying the CBR similarity formula based on Lin\'s similarity theory to generate the Chris
case-based reasoning (CCBR) similarity formula.
METHODS: The data were validated through interviews with two fertility subspecialist
doctors, interviews with two IVF patients, a questionnaire administered to 17 community members, the relevant literature, and 256 records with data on IVF patients\' complaints and how they were handled. An experiment compared the performance of the CBR similarity formula algorithm with the CCBR similarity formula algorithm.
RESULTS: A confusion matrix showed that the CCBR similarity formula had an accuracy value of 52.58% and a precision value of 100%. Fertility subspecialist doctors stated that 89.69% of the CCBR similarity formula recommendations were accurate.
CONCLUSIONS: We recommend applying a combination of the CCBR similarity formula and a minimum reference value of 80% with a CBR smart system for handling IVF patients\' complaints. This recommendation for an accurate system produced by the CBR similarity formula may help fertility subspecialist doctors handle IVF patients\' complaints.