Citation

Yong, Michelle Ting Ting and Ho, Sin Ban and Tan, Chuie Hong (2025) Migraine Generative Artificial Intelligence based on Mobile Personalized Healthcare. Journal of Informatics and Web Engineering, 4 (1). pp. 275-291. ISSN 2821-370X

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Abstract

Migraine is a complicated genetic disorder characterized by episodes of moderate-to-severe headaches that are usually unilateral and are frequently accompanied by nausea and increased sensitivity to sound and light. A migraine attack induces intense pain, hindering an individual from engaging in daily activities and potentially persisting for hours or even days. By the growth of the Internet of Things, we have new opportunities to try to apply it to the medical field. To identify the origin of a migraine, specialists need access to a patient's medical history and a comprehensive understanding of migraine symptoms for effective treatment. Determining the true source of a migraine may take longer than expected. Nowadays, solving problems through the Internet has become very common in people's lives. Hence, the objective of this research is to create a mobile personalized healthcare mechanism that can assist migraine patients in promptly receiving optimal and precise treatment. Moreover, this research would establish a user-friendly interface that facilitates the presentation of compelling evidence regarding the repercussions of patient health issues. Additionally, machine learning training was designed to treat patients based on relevant demographic characteristics of the healthcare treatment, such as medical history and reports provided. Therefore, this paper can provide insights into the state of art in mobile based personalized healthcare system to recommend future paths, for integration and investigation to improve online migraine platforms for a wide range of migraine patients.

Item Type:	Article
Uncontrolled Keywords:	Migraine, Generative Artificial Intelligence, Mobile Personalized Healthcare, Patient Health, LangChain
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	25 Jun 2025 07:11
Last Modified:	25 Jun 2025 07:11
URII:	http://shdl.mmu.edu.my/id/eprint/14002

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