LEADER 04612nam 22006855 450 001 9910522565003321 005 20250630093253.0 010 $a3-030-80928-5 024 7 $a10.1007/978-3-030-80928-7 035 $a(MiAaPQ)EBC6882477 035 $a(Au-PeEL)EBL6882477 035 $a(CKB)21069310800041 035 $a(PPN)260830410 035 $a(DE-He213)978-3-030-80928-7 035 $a(EXLCZ)9921069310800041 100 $a20220203d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning for Critical Internet of Medical Things $eApplications and Use Cases /$fedited by Fadi Al-Turjman, Anand Nayyar 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (267 pages) 311 08$aPrint version: Al-Turjman, Fadi Machine Learning for Critical Internet of Medical Things Cham : Springer International Publishing AG,c2022 9783030809270 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- An Introduction to Basic Concepts on Machine Learning, its architecture and framework -- Machine Learning Models and techniques -- Diseases diagnosis and prediction using Machine Learning -- Machine learning for Mobile/e-health, Tele-medical and Remote healthcare networks -- Machine learning in biomedical, Neuro-critical and medical image processing field -- AI, Deep learning and machine learning enabled connected health informatics -- Machine learning enabled smart healthcare system -- Machine learning based efficient health monitoring systems -- Machine learning case study for virus disease Ebola, COVID-19 consequences -- CASE Study: Machine Learning in Medical domain for Cervical Cancer -- Use cases and applications of machine learning in medical domain -- Conclusion. 330 $aThis book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician?s and doctor?s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications. 606 $aCooperating objects (Computer systems) 606 $aArtificial intelligence 606 $aMedical informatics 606 $aTelecommunication 606 $aBiomedical engineering 606 $aCyber-Physical Systems 606 $aArtificial Intelligence 606 $aHealth Informatics 606 $aCommunications Engineering, Networks 606 $aBiomedical Engineering and Bioengineering 615 0$aCooperating objects (Computer systems) 615 0$aArtificial intelligence. 615 0$aMedical informatics. 615 0$aTelecommunication. 615 0$aBiomedical engineering. 615 14$aCyber-Physical Systems. 615 24$aArtificial Intelligence. 615 24$aHealth Informatics. 615 24$aCommunications Engineering, Networks. 615 24$aBiomedical Engineering and Bioengineering. 676 $a610.28563 676 $a610.285631 702 $aNayyar$b Anand 702 $aAl-Turjman$b Fadi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910522565003321 996 $aMachine learning for critical Internet of medical things$92917124 997 $aUNINA