An Internet of Things and Machine Learning Procedure to Rejuvenate Healthcare

Authors

  • Ahmad Tasnim Siddiqui Horizon University College, Ajman, UAE https://orcid.org/0000-0002-1884-9331
  • Ayma Fatima INTI International University, Nilai, Malaysia
  • Rasheedul Haque MILA University, Nilai, Malaysia https://orcid.org/0000-0001-8170-5413
  • Abdul Rahman Bin S Senathirajah INTI International University, Nilai, Malaysia; Shinawatra University, Bang Toei, Thailand; Wekerle Business School, Budapest, Hungary https://orcid.org/0009-0000-2064-5365
  • Sayeeduzzafar Qazi University of Business and Technology, Jeddah, Saudi Arabia
  • Jessica Ong Hai Liaw National Defence University, Kuala Lumpur, Malaysia https://orcid.org/0000-0003-1109-8915

DOI:

https://doi.org/10.3991/ijoe.v22i06.61533

Keywords:

Biomedical

Abstract


Modern medicine’s therapeutic applications unquestionably have a larger impact on people’s daily lives than the Internet of Things (IoT). In this context, “things” might refer to a wide variety of tangible objects, including monitors for vital signs and other common metrics. Scales and other measuring tools are examples of such equipment. These devices connect to the web and transform information about your real-world setting into information about your digital one. They connect the real and virtual worlds so that they mediate between the two. Information gathered by these gadgets can be shared rapidly with other devices for analysis. This level of specificity illuminates the healthcare system and motivates new ideas to make better patient care without altering established procedures. Important factors of the healthcare business, such as recent developments, obstacles, and practical data, are expected to be considered by the research’s conclusions. One way in which IoT has the potential to enhance medical treatment in underserved areas is in rural settings. The purpose of this specialist publication is to investigate how IoT could affect the delivery of healthcare and the function of computers in the industry.

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Published

2026-06-19

How to Cite

Tasnim Siddiqui, A., Fatima, A., Haque, R., Rahman Bin S Senathirajah, A., Qazi, S., & Ong Hai Liaw, J. (2026). An Internet of Things and Machine Learning Procedure to Rejuvenate Healthcare. International Journal of Online and Biomedical Engineering (iJOE), 22(06), pp. 106–123. https://doi.org/10.3991/ijoe.v22i06.61533

Issue

Section

Special Focus Papers