LEADER 04332nam 22005415 450 001 9910483000003321 005 20200706153823.0 010 $a3-030-40850-7 024 7 $a10.1007/978-3-030-40850-3 035 $a(CKB)5300000000003645 035 $a(MiAaPQ)EBC6132456 035 $a(DE-He213)978-3-030-40850-3 035 $a(PPN)243227892 035 $a(EXLCZ)995300000000003645 100 $a20200309d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning with Health Care Perspective $eMachine Learning and Healthcare /$fedited by Vishal Jain, Jyotir Moy Chatterjee 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (418 pages) 225 1 $aLearning and Analytics in Intelligent Systems,$x2662-3447 ;$v13 311 $a3-030-40849-3 320 $aIncludes bibliographical references. 327 $aChapter 1: Machine learning for Healthcare: Introduction -- Chapter 2: Artificial Intelligence in Medical Diagnosis: Methods, algorithms and applications -- Chapter 3: Intelligent Learning Analytics in Healthcare Sector Using Machine Learning -- Chapter 4: Unsupervised Learning on Healthcare Survey Data with Particle Swarm Optimization -- Chapter 5: Machine Learning for Healthcare Diagnostics -- Chapter 6: Disease Detection System (DDS) Using Machine Learning Technique -- Chapter 7: Knowledge Discovery (Feature Identification) from Teeth, Wrist and Femur Images to determine Human Age and Gender -- Chapter 8: Deep Learning Solutions for Skin Cancer Detection and Diagnosis -- Chapter 9: Security of Healthcare Systems with Smart Health Records using Cloud Technology -- Chapter 10: Intelligent Heart Disease Prediction on Physical and Mental Parameters: A ML Based IoT and Big Data Application and Analysis -- Chapter 11: Medical Text and image processing: Applications, issues and challenges -- Chapter 12: Machine Learning Methods for Managing Parkinson?s Disease -- Chapter 13: An Efficient Method for Computer-aided Diagnosis of Cardiac Arrhythmias -- Chapter 14: Clinical decision support systems and predictive analytics -- Chapter 15: Yajna and Mantra Science Bringing Health and Comfort to Indo-Asian Public: A Healthcare 4.0 Approach and Computational Study -- Chapter 16: Identifying Diseases and Diagnosis using Machine Learning. 330 $aThis unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges. 410 0$aLearning and Analytics in Intelligent Systems,$x2662-3447 ;$v13 606 $aComputational intelligence 606 $aBiomedical engineering 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 615 0$aComputational intelligence. 615 0$aBiomedical engineering. 615 14$aComputational Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 676 $a610.28563 702 $aJain$b Vishal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChatterjee$b Jyotir Moy$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483000003321 996 $aMachine Learning with Health Care Perspective$92185799 997 $aUNINA