The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women

Yeyen Wulandari Dhanio, Runjati Runjati, A. Suwondo, Kurnianingsih Kurnianingsih, S. Sudiyono
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引用次数: 0

Abstract

Background: The COVID-19 pandemic has become a new stressor with significant pregnancy consequences, limiting access to health services. Mindfulness-Based Art Therapy (MBAT) has been proven to intervene in the body-mind-soul and improve mental health problems. However, no research has developed it into a form of artificial intelligence for use by pregnant women in supporting the current situation of access to health services.Purpose: This study aims to produce a system of MBAT based on artificial intelligence for early detection and to prove the effectiveness of improving mental health in pregnant women.Methods: This study employed Research & Development consisting of 4 stages, namely Literature Study, Development Stage, Validity Expert, and Trial.Results: The MBAT application has five features, from mental health information to history. The validity score of the application system is 87.33%. The trial results showed that the application effectively reduces stress levels by 91.26% and anxiety by 90.24%. Also, the application can predict the percentage reduction in stress and anxiety levels correctly and without errors using the decision tree.Conclusion: This application is helpful for pregnant women and health workers in detecting stress and anxiety levels early in pregnancy and improving mental health.
基于正念的艺术治疗基于人工智能的应用对孕妇心理健康的有效性
背景:新冠肺炎大流行已成为一种新的压力源,对怀孕产生重大影响,限制了获得医疗服务的机会。基于正念的艺术疗法(MBAT)已被证明可以干预身心灵魂,改善心理健康问题。然而,没有任何研究将其发展成一种人工智能形式,供孕妇用于支持目前获得医疗服务的情况。目的:本研究旨在建立一个基于人工智能的MBAT系统,用于早期检测,并证明其改善孕妇心理健康的有效性。方法:本研究采用研究与开发的方法,分为文献研究、开发阶段、有效性专家和试验四个阶段。结果:MBAT应用具有从心理健康信息到历史的五个特点。该应用系统的有效性得分为87.33%。试验结果表明,该应用程序有效地降低了91.26%的压力水平和90.24%的焦虑水平。此外,该应用软件可以使用决策树准确无误地预测压力和焦虑水平的降低百分比。结论:该应用程序有助于孕妇和卫生工作者在怀孕早期检测压力和焦虑水平,改善心理健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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24 weeks
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