The DOI matches its Crossref record; 231 of the 231 references it cites were found in a registry or an index.
IoT-based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population
Open accessAbstract
This paper is a review of the current state of IoT-based technologies in the healthcare field for the elderly population. The increasing population of elderly people has led to a greater demand for healthcare services to meet their unique needs. IoT-based technologies have emerged as a promising solution to address this demand. The paper analyses the current trends, challenges, and future opportunities for research in this area. It highlights how IoT-based technologies can be utilized to improve healthcare for older adults, from remote monitoring and telemedicine to fall detection and medication management. The paper also acknowledges that there are still challenges to be addressed, such as data privacy and security, but the potential benefits for older adults outweigh the challenges. The paper also examines the impact of the industrial revolution on the aging population and the corresponding increase in demand for geriatric healthcare. In summary, this paper delves into the current status of IoT-based technologies in geriatric healthcare and its future prospects, with a focus on addressing the needs of the aging population and improving their quality of life.
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“A smart home system with IoT-enabled sensors permits patients with dementia to be monitored online, reducing hospital visits and improving their quality of life.”
From Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration (2024) · cites this paper as [97]
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Cited by
Sorted by citations
Abbas, S. R., Abbas, Z., Zahir, A., & Lee, S. W. (2024) · Healthcare · doi:10.3390/healthcare12242587 · Cited by 228
Metadata
- Authors
- Ali, S. A., & Khan, R.
- Affiliations
- United Arab Emirates University (AE)
- Corresponding author
- Ali, Syed Adnan
- ORCID
- Khan, Rehan
- Venue
- International Journal of Artificial Intelligence and Machine Learning
- Publisher
- MDPI AG
- Published
- 2023-03-06
- Volume
- 4
- Issue
- 1
- Pages
- 94-121
- ISSN
- 2789-2557 (ISSN-L)
- OpenAlex
- W4391695399
- Cited by
- 7
- References
- 231
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 1
- FWCI
- 2.25
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Artificial Intelligence and Machine Learning (publishedVersion)
- Preprints.org (acceptedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- Internet of Things, elderly healthcare, elderly care, remote patient monitoring, telemedicine, fall detection, medication management, data privacy, data security, population aging, quality of life
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