Case-Based Reasoning Modifications for Intelligent Systems in Handling In Vitro Fertilization (IVF) Patients Post Embryo Transfer

The successful rate of In Vitro Fertilization (IVF) in Indonesia is around 29%, which is considered low. One of the factors causing the IVF failure is anxiety. About 77.7% of IVF patients have a high anxiety, and 83.3% of IVF patients experienced an IVF failure. The long duration of waiting the answer from the fertility doctors become one cause of the anxiety in IVF patients. On the other hand, the fertility doctors themselves have other responsibilities that cause IVF patients questions are not able to be given immediately. The study focused on the problems of the IVF patients and the fertility doctors.This research uses triangulation to obtain valid data and include challenges in developing health sector systems. To test the effect of IVF patients on the proposed intelligent system, Anova testing has been carried out resulting in a value of F = 9,902 and a Coefficient test that produces a value of t = 3,147, so the test results provide evidence that IVF patient feedback has an effect on improving the quality of the intelligent system handling IVF patients post embryo transfer. The final results of the research have provided a case-based reasoning (CBR) modification recommendation for an intelligent system for handling IVF patients after embryo transfer.