ArticleIEEE sensors journal2023
Situation-Aware BDI Reasoning to Detect Early Symptoms of Covid 19 Using Smartwatch.
Article in IEEE sensors journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity.Sensors (Basel, Switzerland) · 2023Article
- Deep Learning and Vision Transformer for Medical Image Analysis.Journal of imaging · 2023Article
- Machine learning based model for detecting depression during Covid-19 crisis.Scientific African · 2023Article
- A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects.Complex & intelligent systems · 2023Article
- An enhanced diabetes prediction amidst COVID-19 using ensemble models.Frontiers in public health · 2023Article
- An IoT-Based Wristband for Automatic People Tracking, Contact Tracing and Geofencing for COVID-19.Sensors (Basel, Switzerland) · 2022Article
- Bootstrapping random forest and CHAID for prediction of white spot disease among shrimp farmers.Scientific reports · 2022Article
- Comparative Analysis of Deep Learning Models Used in Impact Analysis of Coronavirus Chest X-ray Imaging.Biomedicines · 2022Article
- Federated learning based Covid-19 detection.Expert systems · 2022Article
- Predictive analytics of COVID-19 cases and tourist arrivals in ASEAN based on covid-19 cases.Health and technology · 2022Article
- Using Identity-Based Cryptography as a Foundation for an Effective and Secure Cloud Model for E-Health.Computational intelligence and neuroscience · 2022Article
- Multithreshold Segmentation and Machine Learning Based Approach to Differentiate COVID-19 from Viral Pneumonia.Computational intelligence and neuroscience · 2022Article
- Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis.Frontiers in public health · 2022Article
- An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders.Computational intelligence and neuroscience · 2022Article
- Deep Conviction Systems for Biomedical Applications Using Intuiting Procedures With Cross Point Approach.Frontiers in public health · 2022Article
- Intelligent Deep Learning Enabled Oral Squamous Cell Carcinoma Detection and Classification Using Biomedical Images.Computational intelligence and neuroscience · 2022Article
- Individual Factors Associated With COVID-19 Infection: A Machine Learning Study.Frontiers in public health · 2022Article
- Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets.Computational intelligence and neuroscience · 2022Article
- A Novel Benchmark Dataset for COVID-19 Detection during Third Wave in Pakistan.Computational intelligence and neuroscience · 2022Article
- Situation aware intelligent reasoning during disaster situation in smart cities.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ambient intelligence plays a crucial role in healthcare situations. It provides a certain way to deal with emergencies to provide the essential resources such as nearest hospitals and emergency stations promptly to avoid deaths. Since the outbreak of Covid-19, several artificial intelligence techniques have been used. However, situation awareness is a key aspect to handling any pandemic situation. The situation-awareness approach gives patients a routine life where they are continuously monitored by caregivers through wearable sensors and alert the practitioners in case of any patient emergency. Therefore, in this paper, we propose a situation-aware mechanism to detect Covid-19 systems early and alert the user to be self-aware regarding the situation to take precautions if the situation seems unlikely to be normal. We provide Belief-Desire-Intention intelligent reasoning mechanism for the system to analyze the situation after acquiring the data from the wearable sensors and alert the user according to their environment. We use the case study for further demonstration of our proposed framework. We model the proposed system by temporal logic and map the system illustration into a simulation tool called NetLogo to determine the results of the proposed system.
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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.