ระบบแนะนำอย่างเชี่ยวชาญสำหรับหญิงตั้งครรภ์โดยใช้กระบวนการประมวลผลภาษาธรรมชาติ

Abstract

The antenatal care is basic step. It is essentials for health of pregnant women. The first step into the women pregnant have a healthy, beside the fetus have a healthy. The Healthy Pregnant women must be closely and continuously care by the expert. The steps of antenatal care included: 1) health assessment 2) report of Assessment result 3) health care recommendations The problem of antenatal care included: (1) a number of experts is insufficient for pregnant women. (2) New graduate nurses lack experience in health care recommendation (3) Pregnant women do not understand the information in mother and child health handbook. The objective of this research is to studied the technique of Natural Language Processing (NLP) to health questions sentences analysis by getting user input and used the technique of Rule Base to report of Assessment result. Meanwhile, to health care recommendations and develop an expert - based application to enhance the health of pregnant women by using a Chatbot. The results of this study, found that with The Rule Base technique was used to define 58 rules. The technique of Natural Language Processing (NLP) was also used to analyze and find the intent of the sentence to reply to the user with an accuracy of 92.16 %. The result of the evaluation to understanding data communications in application, found that a sample of 27 in 30 (90 percent) had understanding data communications. The result of the evaluation knowledge score before and after of new graduate nurses use of the application were statistically significant differences between the pre-test and post-test (Z = -2.989, p = 001) so the post-test scores (X= 9.3846, SD = 96077) higher than the pre-test scores (X= 7.7692, SD = 1.96443).