03932nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050000900172072001600181072002300197072001500220245019200235250001800427264006900445300006400514336002600578337002600604338003600630347002400666490008500690505127800775520047502053650003902528650003602567650002902603650002802632650003902660650003602699650002802735650004702763700015102810700008902961710003403050773002603084776003603110776003603146776003603182830009203218856004603310912001403356912001503370999001703385978-3-031-52787-6DE-He21320251030111410.0cr nn 008mamaa240131s2024    sz |    s    |||| 0|eng d  a97830315278769978-3-031-52787-67 a10.1007/978-3-031-52787-62doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aArtificial Intelligence for Internet of Things (IoT) and Health Systems Operabilityh[electronic resource] :bAI for IoT and Health Systems /cedited by Alireza Souri, Salaheddine Bendak.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aX, 191 p. 103 illus., 90 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aEngineering Cyber-Physical Systems and Critical Infrastructures,x2731-5010 ;v80 aDrug-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.  aIoTHIC-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. . 0aComputational intelligence.964052 0aArtificial intelligence.958441 0aMedical sciences.965984 0aBiomedical engineering.14aComputational Intelligence.96405224aArtificial Intelligence.95844124aHealth Sciences.96598724aBiomedical Engineering and Bioengineering.1 aSouri, Alireza.eeditor.0(orcid)0000-0001-8314-90511https://orcid.org/0000-0001-8314-90514edt4http://id.loc.gov/vocabulary/relators/edt9703641 aBendak, Salaheddine.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9703652 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303152786908iPrinted edition:z978303152788308iPrinted edition:z9783031527890 0aEngineering Cyber-Physical Systems and Critical Infrastructures,x2731-5010 ;v897036640uhttps://doi.org/10.1007/978-3-031-52787-6  aZDB-2-INR  aZDB-2-SXIT  c57422d57422