Published: Jan. 1, 2024
Language: Английский
Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(3)
Published: Jan. 8, 2025
Abstract This paper explores the transformative impact of Internet Medical Things (IoMT) on healthcare. By integrating medical equipment and sensors with internet, IoMT enables real-time monitoring patient health, remote care, individualized treatment plans. significantly improves several healthcare domains, including managing chronic diseases, safety, drug adherence, resulting in better outcomes reduced expenses. Technologies like blockchain, Artificial Intelligence (AI), cloud computing further boost IoMT’s capabilities Blockchain enhances data security interoperability, AI analyzes massive volumes health to find patterns make predictions, offers scalable cost-effective processing storage. Therefore, this provides a comprehensive review (IoT) IoMT-based edge-intelligent smart healthcare, focusing publications published between 2018 2024. The addresses numerous studies IoT, IoMT, AI, edge computing, security, Deep Learning, blockchain. obstacles facing are also covered paper, interoperability issues, regulatory compliance, privacy concerns. Finally, recommendations for provided.
Language: Английский
Citations
1
Healthcare, Journal Year: 2023, Volume and Issue: 11(18), P. 2483 - 2483
Published: Sept. 7, 2023
This extensive review examines sarcopenia, a condition characterized by loss of muscle mass, stamina, and physical performance, with particular emphasis on its detection management using contemporary technologies. It highlights the lack global agreement or standardization regarding definition sarcopenia various techniques used to measure performance. The distinctive criteria employed European Working Group Sarcopenia in Older People (EWGSOP) Asian for (AWGSOP) diagnosing are examined, emphasizing potential obstacles comparing research results across studies. paper delves into use machine learning diagnosis, noting challenges such as data accessibility, imbalance, feature selection. suggests that wearable devices, like activity trackers smartwatches, could offer valuable insights progression aid individuals monitoring managing their condition. Additionally, investigates blockchain technology edge computing healthcare storage, discussing models systems leverage these technologies secure patient privacy enhance personal health information management. However, it acknowledges limitations systems, including inefficiencies handling large volumes medical dynamic selection capability. In conclusion, provides comprehensive summary current research, modern enhancing while also highlighting need further address standardization, management, effective use.
Language: Английский
Citations
17
Future Generation Computer Systems, Journal Year: 2023, Volume and Issue: 152, P. 239 - 253
Published: Nov. 1, 2023
Language: Английский
Citations
15
International Journal of Cognitive Computing in Engineering, Journal Year: 2024, Volume and Issue: 5, P. 379 - 397
Published: Jan. 1, 2024
Language: Английский
Citations
5
International Journal of Cognitive Computing in Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
0
ACM Computing Surveys, Journal Year: 2025, Volume and Issue: 57(8), P. 1 - 33
Published: Feb. 15, 2025
Modern computing devices generate vast amounts of diverse data. It means that a fast transition through various leads to big data production. Big with high velocity, volume, and variety presents challenges like inconsistency, scalability, real-time analysis, tool selection. Although numerous solutions have been proposed for processing, they are often limited in scope effectiveness. This survey aims address the lack comprehensive analysis relation machine learning (ML) Internet Things (IoT) environments, particularly concerning 7Vs emphasizes significance selecting suitable tools each unique characteristic, providing structured approach manage these effectively. The article systematically reviews characteristics associated techniques, detailed discussion their applications. Additionally, it analyzes existing ML methods techniques IoT analytics contexts. Through systematic literature review (SLR), we examine key aspects, including core concepts, benefits, limitations, impact on algorithms analytics. We highlight groundbreaking studies addressing future research enhance data-driven
Language: Английский
Citations
0
Peer-to-Peer Networking and Applications, Journal Year: 2025, Volume and Issue: 18(3)
Published: Feb. 25, 2025
Language: Английский
Citations
0
Published: Jan. 1, 2024
The major issues in managing patient health records are the security, accessibility, ownership of medical reports, and usability data. To address these challenges, we propose a decentralized, blockchain-based architecture to connect record systems by bringing together several healthcare stakeholders. Patients could grant professionals temporary access their data based on permission-based process. accomplish this, proposed employing Hyperledger blockchain with Non-Fungible Tokens (NFTs) verify records, track all associated activities, offer transparency, swift accessibility. We illustrate system functionality using comprehensive design diagrams, including flowcharts, Unified Modelling Language (UML) entity diagrams. diagrams visually represent system's structure procedures, which helps implementation possible applications. In this paper, have primarily emphasized structural modeling aspects system. Overall, study adds expanding body knowledge about offers insightful information for academics, professionals, decision-makers sector.
Language: Английский
Citations
3
Egyptian Informatics Journal, Journal Year: 2023, Volume and Issue: 24(4), P. 100410 - 100410
Published: Oct. 15, 2023
Wireless Body Area Networks (WBANs) healthcare application is a group of heterogeneous-natured Bio-Medical Sensor Nodes (BMSNs) used to sense and monitor patient's vital signs, in the long run, under natural physiological conditions, without affecting regular activities. Heterogeneous-natured BMSNs demand prioritized channel access during contention phases transmit data or allocate time slots contention-free phases. Thus, contention-based prioritization heterogeneous traffic required WBANs. Therefore, many researchers have considered presented various traffic-priority Medium Access Control (MAC) protocols. This paper provides thematic review priority MAC protocols Slotted Carrier Sense Multiple / Collision Avoidance (CSMA/CA) scheme beacon-enabled modes IEEE 802.15.4 802.15.6 MACs also analyzed regarding prioritization. In addition, critical comparative analysis existing obtained. A hierarchy proposed. on WBANs extends body knowledge. paper, therefore, serves as first enhances concept at layer We confidence that this will stimulate better way solving problem.
Language: Английский
Citations
7
International Journal of Cognitive Computing in Engineering, Journal Year: 2023, Volume and Issue: 4, P. 363 - 372
Published: June 1, 2023
A wireless sensor network (WSN) encompasses a huge set of nodes employed to collect data and transmit it base station (BS). Due its compact, inexpensive, scalable nature sensors, WSN finds applicability in diverse real-time applications. The battery-operated necessitate the design multi-hop routing protocol for effective utilization available energy network. Routing can be considered an optimization problem solved by bioinspired algorithms. This study introduces improved deer hunting optimization-enabled multihop (IDHO-MHR) WSN. major intention IDHO-MHR approach is optimally find routes destination IDHO algorithm initially derived incorporation Nelder Mead (NM) concept into traditional DHO algorithm. In addition, technique primarily derives fitness function with inclusion two variables, namely residual (RE) distance. higher RE minimum distance have probability becoming optimal from networks. performance validation performed, outcomes are inspected various aspects. experimental reported supremacy over other recent approaches.
Language: Английский
Citations
6