Authors :

M.Santhosh and S. Senthilnathan

Address :

Department of Computer Science, Vels Institute Of Science, Technology &Advanced Studies (Vistas), Chennai

Department of Computer science &Applications ERK Arts & Science College, Erumiyampatty – 636902, Papireddipatty, Tk, Dharmapuri Dist

Abstract :

Using patient monitors and mobile devices, m-health aims to transform healthcare. Over time, m-health systems have merged AI and big data analytics to improve patient care. From EHRs, medical images, and written papers, the healthcare industry generates a mountain of complex, unstructured data. Accessing and analyzing data becomes harder with frequent mobile app use. Another high-level overview of how AI and big data analytics improve m-health systems follows. Best big data, AI methods, and data source frameworks are examined. To identify and address specific issues in m-health resource allocation and planning, this research applies these techniques. The paper introduces the AIHealthX paradigm for big data analyticsbased mobile health solutions. By improving m-health data administration and evaluation, this approach aims to transform healthcare systems. Study findings define AIHealthX's future, which integrates AI and large data analytics. Integrating AI and big data analytics into this unified approach could improve healthcare outcomes and mobile health. The purpose of this article is to improve mobile services for patient monitoring and healthcare delivery to create more efficient health ecosystems.

Keywords :

Artificial Intelligence; m-Health; Big Data Analytics; Healthcare Systems; Mobile Health Solutions; Electronic Health Records.