Citation
Jeya, R. and Abdul Karim, Hezerul and Mansor, Sarina (2024) Artificial Intelligence and Mobile Apps Support Intelligent Healthcare Systems for Mental Health Services. International Journal of Interactive Mobile Technologies, 18 (20). pp. 157-168. ISSN 1865-7923
Text
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Abstract
Patients and healthcare practitioners have commended the systems’ effectiveness, ease, and user-friendliness in several situations. Utilizing cutting-edge ideas and methods from the mul-tidisciplinary domains of electricity, computing, medical engineering, and medicine, mobile healthcare (m-health) technology advances these professions’ contributions to healthcare systems. The monitoring and delivery of healthcare interventions are becoming increasingly dependent on mobile phones. Because of their sophisticated processing functions, improved preferences, and wide range of capabilities, they are frequently referred to as pocket computers. Their advanced sensors and intricate software programmers increase the viability and inno-vation of m-health solutions. To design the m-health application, the design science research methodology (DSRM) framework was used. Additionally, the architecture for connecting the hospital information system and mobile device network together was established. Additionally, a few exemplary intelligent healthcare applications are examined to demonstrate how data analytics and mobile computing can be used to improve the quality of healthcare services.
Item Type: | Article |
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Uncontrolled Keywords: | Mobile healthcare (m-health), artificial intelligence |
Subjects: | Q Science > Q Science (General) > Q300-390 Cybernetics |
Divisions: | Faculty of Engineering (FOE) |
Depositing User: | Ms Nurul Iqtiani Ahmad |
Date Deposited: | 03 Dec 2024 01:36 |
Last Modified: | 03 Dec 2024 01:36 |
URII: | http://shdl.mmu.edu.my/id/eprint/13152 |
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