ArticleSensors (Basel, Switzerland)2021
Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Smart Contracts and Shared Platforms in Sustainable Health Care: Systematic Review.JMIR medical informatics · 2025Pooled it
- Acceptance of Smart Contracts in Patients Receiving Primary Care: Exploratory Study.JMIR formative research · 2026Article
- DRLBTS: deep reinforcement learning-aware blockchain-based healthcare system.Scientific reports · 2023Article
- A Recommender System for Robust Smart Contract Template Classification.Sensors (Basel, Switzerland) · 2023Article
- A secure routing approach based on league championship algorithm for wireless body sensor networks in healthcare.PloS one · 2023Article
- Edge computing based secure health monitoring framework for electronic healthcare system.Cluster computing · 2023Article
- Impact of Using the Internet of Medical Things on e-Healthcare Performance: Blockchain Assist in Improving Smart Contract.ClinicoEconomics and outcomes research : CEOR · 2023Article
- Blockchain Socket Factories with RMI-Enabled Framework for Fine-Grained Healthcare Applications.Sensors (Basel, Switzerland) · 2022Article
- Mobile health application for Thai women: investigation and model.BMC medical informatics and decision making · 2022Article
- A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System.Sensors (Basel, Switzerland) · 2022Article
- Blockchain-Cloud Integration: A Survey.Sensors (Basel, Switzerland) · 2022Review
- Potent Blockchain-Enabled Socket RPC Internet of Healthcare Things (IoHT) Framework for Medical Enterprises.Sensors (Basel, Switzerland) · 2022Article
- A Lightweight Secure Adaptive Approach for Internet-of-Medical-Things Healthcare Applications in Edge-Cloud-Based Networks.Sensors (Basel, Switzerland) · 2022Article
- Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID-19 Patients in IoT-Fog Computing Environments.Computational intelligence and neuroscience · 2022Article
- Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID-19 Diagnostic Model.Computational intelligence and neuroscience · 2022Article
- RSM analysis based cloud access security broker: a systematic literature review.Cluster computing · 2022Article
- A Smart Contract-Based Dynamic Consent Management System for Personal Data Usage under GDPR.Sensors (Basel, Switzerland) · 2021Article
- Federated learning enables intelligent reflecting surface in fog-cloud enabled cellular network.PeerJ. Computer science · 2021Article
- Case studies about smart contracts in healthcare.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Internet of Medical Things (IoMT) is increasingly being used for healthcare purposes. IoMT enables many sensors to collect patient data from various locations and send it to a distributed hospital for further study. IoMT provides patients with a variety of paid programmes to help them keep track of their health problems. However, the current system services are expensive, and offloaded data in the healthcare network are insecure. The research develops a new, cost-effective and stable IoMT framework based on a blockchain-enabled fog cloud. The study aims to reduce the cost of healthcare application services as they are processing in the system. The study devises an IoMT system based on different algorithm techniques, such as Blockchain-Enable Smart-Contract Cost-Efficient Scheduling Algorithm Framework (BECSAF) schemes. Smart-Contract Blockchain schemes ensure data consistency and validation with symmetric cryptography. However, due to the different workflow tasks scheduled on other nodes, the heterogeneous, earliest finish, time-based scheduling deals with execution under their deadlines. Simulation results show that the proposed algorithm schemes outperform all existing baseline approaches in terms of the implementation of applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.