A COMPARATIVE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN MOBILE HEALTH CARE AND ITS IMPACT ON HEALTH CARE NETWORKING – A CRITICAL PERSPECTIVE ON HEALTH CARE SYSTEM
Authors: Revathi.R , VISHAL PRAKASH*, LESKO NATALIA VLADIMIROVNA, KORNIIENKO DMYTRO MYKOLAIOVYCH AND SOLODKA OLENA MARKIJANIVNA

ABSTRACT
The term mobile health care (M-Health) is stated as the usage of smart phones and other related devices in monitoring the health of the individuals in an effective manner. The growth in technology and advancements in medical sciences has enabled in creating new and effective means of monitoring the health of the individuals and provide better care in order to enhance their health and wellbeing. The growth of artificial intelligence (AI) and predictive data analytics has enabled in enhancing the critical health care networking among the patients and medical practitioners in an effective manner. Different types of data like the medical records, images, vaccine and drug related and complicated text aspects needs to be analysed and interpreted so that better care can be provided to the patients. The implementation of mobile devices assists in the evolution of various systems which comprises of mobile devices, medical based sensors and other portable applications. The implementation of M-Health is gaining its popularity as it assists the medical practitioners and patients in better engagement, provide better assistance and maintain data in an effective manner for effective analysis. These devices enable in offering better support in vulnerable situations through enhancements in network and application of AI. This paper intends to make a conceptual analysis on the application of AI in M-Health care and its impact on health care networking. Keywords: Mobile health, Artificial Intelligence, Health care networking
Publication date: 01/11/2021
    https://ijbpas.com/pdf/2021/November/MS_IJBPAS_2021_NOV_SPCL1012.pdf
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https://doi.org/10.31032/IJBPAS/2021/10.11.1012