Implementation of a Smarter Herbal Medication Delivery System Employing an AI-Powered Chatbot

IF 0.7 Q3 COMPUTER SCIENCE, THEORY & METHODS International Journal of Advanced Computer Science and Applications Pub Date : 2023-01-01 DOI:10.14569/ijacsa.2023.0140358
M. Vera, T. Palaoag
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Abstract

—Medicinal plants are a practical and cost-effective alternative for treating common ailments, especially in areas with limited access to public healthcare systems. This paper introduces a prototype of an intelligent interactive system that merges chatbot technology with artificial intelligence (AI) to address inquiries related to treatment alternatives and the application of different medicinal plants for prevalent health conditions which promote and advance alternative healing practices in the locality. The platform is a hybrid online chat service that prioritizes consumer health and encourages the responsible use of medicinal plants. This study used a survey questionnaire to gather information from traditional healers and users and concerned government agencies about how well the system prototype performed. The system's performance was assessed in terms of effectiveness, efficiency, and customer satisfaction, with respondents providing an aggregate rating of "Strongly Agree". Significantly, this study lays the groundwork for education on the use of local medicinal plants to cure illnesses and highlights the importance of providing users with accurate and reliable information on the safe use of medicinal plants. This approach empowers users to make informed decisions about the plants they use, reducing the likelihood of harmful effects and optimizing the potential benefits of medicinal plants. By supporting this effort, this study contributes to the achievement of the third Sustainable Development Goal of the UN, which aims to promote health and well-being by offering the local populace a low-cost option as a first line of defense for improving their health and wellness.
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采用人工智能聊天机器人的更智能草药输送系统的实现
-药用植物是治疗常见病的一种实用且具有成本效益的替代方法,特别是在公共医疗保健系统有限的地区。本文介绍了一种智能交互系统的原型,该系统将聊天机器人技术与人工智能(AI)相结合,以解决与治疗替代方案和不同药用植物对流行健康状况的应用相关的查询,从而促进和推进当地的替代治疗实践。该平台是一个混合在线聊天服务,优先考虑消费者的健康,并鼓励负责任地使用药用植物。本研究采用问卷调查的方式,从传统治疗师、使用者和相关政府机构收集有关系统原型执行情况的信息。该系统的性能是根据有效性、效率和客户满意度来评估的,受访者提供了“非常同意”的总评级。值得注意的是,这项研究为使用当地药用植物治疗疾病的教育奠定了基础,并强调了向用户提供有关安全使用药用植物的准确可靠信息的重要性。这种方法使使用者能够对他们使用的植物做出明智的决定,减少有害影响的可能性并优化药用植物的潜在益处。通过支持这一努力,本研究有助于实现联合国第三个可持续发展目标,该目标旨在通过为当地民众提供低成本的选择,作为改善其健康和福祉的第一道防线,促进健康和福祉。
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来源期刊
CiteScore
2.30
自引率
22.20%
发文量
519
期刊介绍: IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal''s vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications
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