Smart healthcare systems: A new IoT-Fog based disease diagnosis framework for smart healthcare projects

Tang, Zhenyou; Tang, Zhenyu; Liu, Yuxin; Tang, Zhong; Liao, Yuxuan

doi:10.1016/j.asej.2024.102941

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Other1

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

An Adaptive Cloud and Internet of Things-Based Disease Detection Approach for Secure Healthcare system

Mitra,

Deepika,

Ammu

et al. 2024

2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)

View full text Add to dashboard Cite

An Adaptive Cloud and Internet of Things-Based Disease Detection Approach for Secure Healthcare system

Mitra,

Deepika,

Ammu

et al. 2024

2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)

View full text Add to dashboard Cite

The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems

Wang,

Shi,

Han

et al. 2024

Front. Med.

View full text Add to dashboard Cite

Facing unprecedented challenges due to global population aging and the prevalence of chronic diseases, the healthcare sector is increasingly relying on innovative solutions. Internet of Things (IoT) technology, by integrating sensing, network communication, data processing, and security technologies, offers promising approaches to address issues such as nursing personnel shortages and rising healthcare costs. This paper reviews the current state of IoT applications in healthcare, including key technologies, frameworks for smart nursing platforms, and case studies. Findings indicate that IoT significantly enhances the efficiency and quality of care, particularly in real-time health monitoring, disease management, and remote patient supervision. However, challenges related to data quality, user acceptance, and economic viability also arise. Future trends in IoT development will likely focus on increased intelligence, precision, and personalization, while international cooperation and policy support are critical for the global adoption of IoT in healthcare. This review provides valuable insights for policymakers, researchers, and practitioners in healthcare and suggests directions for future research and technological advancements.

show abstract

Predictive Healthcare: An IoT-Based ANFIS Framework for Diabetes Diagnosis

Sunny,

Sakil,

Atayeva

et al. 2024

ENG

View full text Add to dashboard Cite

Smart healthcare systems: A new IoT-Fog based disease diagnosis framework for smart healthcare projects

Cited by 3 publications

References 48 publications

An Adaptive Cloud and Internet of Things-Based Disease Detection Approach for Secure Healthcare system

An Adaptive Cloud and Internet of Things-Based Disease Detection Approach for Secure Healthcare system

The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems

Predictive Healthcare: An IoT-Based ANFIS Framework for Diabetes Diagnosis

Contact Info

Product

Resources

About