ReviewSensors (Basel, Switzerland)2023
Swarm Intelligence in Internet of Medical Things: A Review.
Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
10 citing papers in PubMed.
- [Design and implementation of the internet of medical things data platform based on cloud-edge-end architecture].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Article
- Neural Bases of Collective Social Behavior and Group Interactions across Species.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Review
- Harnessing the power of virtual reality technology to enhance public health genomics skills in Africa.Nature communications · 2026Review
- Energy-efficient clustering and routing for IoT-enabled healthcare using adaptive fuzzy logic and hybrid optimization.Scientific reports · 2025Article
- Predictive effect of postoperative recovery in general anesthesia patients using interpretable models based on swarm intelligence machine learning.Frontiers in physiology · 2025Article
- An Adaptive Intrusion Detection System in the Internet of Medical Things Using Fuzzy-Based Learning.Sensors (Basel, Switzerland) · 2023Article
- An Improved Harris Hawks Optimization Algorithm and Its Application in Grid Map Path Planning.Biomimetics (Basel, Switzerland) · 2023Article
- Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions.Biomimetics (Basel, Switzerland) · 2023Review
- An Improved Mutual Information Feature Selection Technique for Intrusion Detection Systems in the Internet of Medical Things.Sensors (Basel, Switzerland) · 2023Article
- Body composition predicts hypertension using machine learning methods: a cohort study.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Continuous advancements of technologies such as machine-to-machine interactions and big data analysis have led to the internet of things (IoT) making information sharing and smart decision-making possible using everyday devices. On the other hand, swarm intelligence (SI) algorithms seek to establish constructive interaction among agents regardless of their intelligence level. In SI algorithms, multiple individuals run simultaneously and possibly in a cooperative manner to address complex nonlinear problems. In this paper, the application of SI algorithms in IoT is investigated with a special focus on the internet of medical things (IoMT). The role of wearable devices in IoMT is briefly reviewed. Existing works on applications of SI in addressing IoMT problems are discussed. Possible problems include disease prediction, data encryption, missing values prediction, resource allocation, network routing, and hardware failure management. Finally, research perspectives and future trends are outlined.
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.