04169nam a22005775i 4500 978-3-031-52787-6 DE-He213 20251030111410.0 cr nn 008mamaa 240131s2024 sz | s |||| 0|eng d 9783031527876 978-3-031-52787-6 10.1007/978-3-031-52787-6 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability [electronic resource] : AI for IoT and Health Systems / edited by Alireza Souri, Salaheddine Bendak. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. X, 191 p. 103 illus., 90 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Engineering Cyber-Physical Systems and Critical Infrastructures, 2731-5010 ; 8 Drug-Drug Interaction, Interaction Type And Resulting Severity Forecasting By Machine Learning-Based Approaches -- Hybrid Network Protocol Information Collection and Dissemination in IoT Healthcare -- CNN-Based Model for Skin Diseases Classification -- Using explainable artificial intelligence and knowledge graph to explain sentiment analysis of COVID-19 post on the Twitter -- An IoT-based Telemedicine System for the Rural People of Bangladesh -- Comparison of Predicting Regional Mortalities Using Machine Learning Models -- Benign and Malignant Cancer Prediction using Deep Learning and Generating Pathologist Diagnostic Report -- An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading -- Covid-19 Detection based on Chest X-ray images us-ing Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks -- A Stochastic Gradient Support Vector Optimization Algorithm for Predicting ChronicKidney Diseases -- Intelligent Information Systems in Healthcare sector: Review Study -- Design of a Blockchain-based Patient Record Tracking System -- IoT Networks and Online Image Processing in IMU-based Gait Analysis -- Reducing Patient Waiting Time in Ultrasonography Using Simulation and IoT Application. IoTHIC-2023 is a multidisciplinary, peer-reviewed international conference on Internet of Things (IoT) and healthcare systems with Artificial Intelligence (AI) techniques such as data mining, machine learning, image processing, and meta-heuristic algorithms. The AI-based techniques are applied on many fields of healthcare systems, including predicting and detecting diseases in hospitals, clinics, smart health monitoring systems, surgery, medical services, and etc. . Computational intelligence. 64052 Artificial intelligence. 58441 Medical sciences. 65984 Biomedical engineering. Computational Intelligence. 64052 Artificial Intelligence. 58441 Health Sciences. 65987 Biomedical Engineering and Bioengineering. Souri, Alireza. editor. (orcid)0000-0001-8314-9051 https://orcid.org/0000-0001-8314-9051 edt http://id.loc.gov/vocabulary/relators/edt 70364 Bendak, Salaheddine. editor. edt http://id.loc.gov/vocabulary/relators/edt 70365 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031527869 Printed edition: 9783031527883 Printed edition: 9783031527890 Engineering Cyber-Physical Systems and Critical Infrastructures, 2731-5010 ; 8 70366 https://doi.org/10.1007/978-3-031-52787-6 ZDB-2-INR ZDB-2-SXIT 57422 57422