College of Computing and Information Technology, Shaqra University, Shaqraa, Saudi Arabia.
J Healthc Eng. 2020 Aug 30;2020:8894694. doi: 10.1155/2020/8894694. eCollection 2020.
Mobile health (m-health) is the term of monitoring the health using mobile phones and patient monitoring devices etc. It has been often deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) and big data analytics have been applied within the m-health for providing an effective healthcare system. Various types of data such as electronic health records (EHRs), medical images, and complicated text which are diversified, poorly interpreted, and extensively unorganized have been used in the modern medical research. This is an important reason for the cause of various unorganized and unstructured datasets due to emergence of mobile applications along with the healthcare systems. In this paper, a systematic review is carried out on application of AI and the big data analytics to improve the m-health system. Various AI-based algorithms and frameworks of big data with respect to the source of data, techniques used, and the area of application are also discussed. This paper explores the applications of AI and big data analytics for providing insights to the users and enabling them to plan, using the resources especially for the specific challenges in m-health, and proposes a model based on the AI and big data analytics for m-health. Findings of this paper will guide the development of techniques using the combination of AI and the big data as source for handling m-health data more effectively.
移动健康（m-health）是指使用手机和患者监测设备等监测健康的术语。它通常被认为是当今时代技术的重大突破。最近，人工智能（AI）和大数据分析已应用于 m-health 中，以提供有效的医疗保健系统。各种类型的数据，如电子健康记录（EHRs）、医学图像和复杂的文本，都具有多样化、解释困难和广泛的非组织化等特点，这些数据在现代医学研究中得到了广泛应用。这是由于移动应用程序与医疗保健系统的出现而导致各种非组织和非结构化数据集的重要原因。本文对人工智能和大数据分析在改善 m-health 系统中的应用进行了系统回顾。还讨论了各种基于 AI 的算法和大数据框架，以及它们所涉及的数据来源、使用的技术和应用领域。本文探讨了人工智能和大数据分析在为用户提供洞察力并帮助他们规划资源，特别是针对 m-health 中的特定挑战方面的应用。本文提出了一个基于 AI 和大数据分析的 m-health 模型。本文的研究结果将指导使用 AI 和大数据组合作为处理 m-health 数据的来源的技术的开发，以更有效地处理 m-health 数据。
