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020 _a9783031527876
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024 7 _a10.1007/978-3-031-52787-6
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072 7 _aCOM004000
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245 1 0 _aArtificial Intelligence for Internet of Things (IoT) and Health Systems Operability
_h[electronic resource] :
_bAI for IoT and Health Systems /
_cedited by Alireza Souri, Salaheddine Bendak.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aX, 191 p. 103 illus., 90 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aEngineering Cyber-Physical Systems and Critical Infrastructures,
_x2731-5010 ;
_v8
505 0 _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.
520 _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. .
650 0 _aComputational intelligence.
_964052
650 0 _aArtificial intelligence.
_958441
650 0 _aMedical sciences.
_965984
650 0 _aBiomedical engineering.
650 1 4 _aComputational Intelligence.
_964052
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aHealth Sciences.
_965987
650 2 4 _aBiomedical Engineering and Bioengineering.
700 1 _aSouri, Alireza.
_eeditor.
_0(orcid)0000-0001-8314-9051
_1https://orcid.org/0000-0001-8314-9051
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700 1 _aBendak, Salaheddine.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031527869
776 0 8 _iPrinted edition:
_z9783031527883
776 0 8 _iPrinted edition:
_z9783031527890
830 0 _aEngineering Cyber-Physical Systems and Critical Infrastructures,
_x2731-5010 ;
_v8
_970366
856 4 0 _uhttps://doi.org/10.1007/978-3-031-52787-6
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