Enhancing Migraine Management System through Weather Forecasting for a Better Daily Life

Wen-Xuan Ong, Sin-Ban Ho, Chuie-Hong Tan
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Abstract

A migraine is a severe, throbbing, or pulsing headache that typically affects one side of the head. A migraine attack can be so painful that it interferes with daily activities and can last for hours or even days. Migraine is a common health issue that affects approximately 1 in every 5 women and 1 in every 15 men. Additionally, millions of people worldwide suffer from migraine attacks due to the inability to anticipate or adapt to their environment. In today's globalized world, mobile phones have become a necessity for the general public, enabling communication, internet shopping, food purchases, and even health applications. Therefore, the purpose of this research is to develop a mobile application that serves as an online migraine management system that is responsive to meteorological conditions. The app was created using development tools such as Android Studio, Visual Code Studio, Flutter framework, and Firebase Firestore, which act as databases. This report also includes essential information on migraines and a comparison of similar or existing applications. In addition, the research is designed to provide a reliable and user-friendly interface for collecting migraine data for robust evidence, processing relevant demographic features such as medical history, and generating reports. While researching topics relevant to the application, we found a scarcity of data on weather-based migraines. As a result, the system will predict the impact and risk of migraine based on Headache Impact Test (HIT-6) data provided by migraine patients as well as weather forecasts. With the features of this research, migraine patients can hopefully better prepare themselves for their daily routine and manage their symptoms more effectively.
透过天气预报改善偏头痛管理系统,改善日常生活
偏头痛是一种严重的、悸动的或脉冲性的头痛,通常影响头部的一侧。偏头痛发作时非常痛苦,它会干扰日常活动,并持续数小时甚至数天。偏头痛是一种常见的健康问题,大约五分之一的女性和十五分之一的男性患有偏头痛。此外,由于无法预测或适应环境,全世界有数百万人患有偏头痛。在当今全球化的世界,移动电话已经成为一般公众的必需品,使通信,网上购物,食品购买,甚至健康应用程序。因此,本研究的目的是开发一个移动应用程序,作为一个在线偏头痛管理系统,响应气象条件。该应用程序是使用Android Studio、Visual Code Studio、Flutter框架和Firebase Firestore等开发工具创建的,这些工具充当数据库。本报告还包括偏头痛的基本信息和类似或现有应用程序的比较。此外,该研究旨在为收集偏头痛数据提供可靠和用户友好的界面,以获得强有力的证据,处理相关的人口统计学特征,如病史,并生成报告。在研究与应用程序相关的主题时,我们发现有关天气偏头痛的数据缺乏。因此,该系统将根据偏头痛患者提供的头痛影响测试(HIT-6)数据以及天气预报来预测偏头痛的影响和风险。有了这项研究的特点,偏头痛患者有望更好地为日常生活做好准备,更有效地控制症状。
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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