Mobile health (m-health) is the termofmonitoring the health usingmobile phones and patientmonitoring devices etc. It has been\noften deemed as the substantial breakthrough in technology in this modern era. Recently, artificial intelligence (AI) and big data\nanalytics have been applied within the m-health for providing an effective healthcare system. Various types of data such as\nelectronic health records (EHRs), medical images, and complicated text which are diversified, poorly interpreted, and extensively\nunorganized have been used in themodernmedical research. This is an important reason for the cause of various unorganized and\nunstructured datasets due to emergence of mobile applications along with the healthcare systems. In this paper, a systematic\nreview is carried out on application of AI and the big data analytics to improve the m-health system. Various AI-based algorithms\nand frameworks of big data with respect to the source of data, techniques used, and the area of application are also discussed. This\npaper explores the applications of AI and big data analytics for providing insights to the users and enabling themto plan, using the\nresources especially for the specific challenges in m-health, and proposes a model based on the AI and big data analytics for\nm-health. Findings of this paper will guide the development of techniques using the combination of AI and the big data as source\nfor handling m-health data more effectively.
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