000			04610cam a22005178i 4500
001			9781003132110
003			FlBoTFG
005			20240213122825.0
006			m o d
007			cr |||||||||||
008			211021s2022 flu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781003132110 _q(ebook)
020			_a1003132111
020			_z9780367676339 _q(hardback)
020			_z9780367676346 _q(paperback)
020			_a9781000539974 _q(electronic bk. : PDF)
020			_a1000539970 _q(electronic bk. : PDF)
020			_a9781000539981 _q(electronic bk. : EPUB)
020			_a1000539989 _q(electronic bk. : EPUB)
035			_a(OCoLC)1273727943
035			_a(OCoLC-P)1273727943
050	0	0	_aR858
072		7	_aTEC _x029000 _2bisacsh
072		7	_aTJF _2bicssc
082	0	0	_a610.285 _223/eng/20211110
245	0	0	_aMachine learning approaches and applications in applied intelligence for healthcare data analytics / _cedited by Abhishek Kumar, Anavatti G. Sreenatha, Ashutosh Kumar Dubey, and Pramod Singh Rathore.
250			_aFirst edition.
264		1	_aBoca Raton : _bCRC Press, _c2022.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aInnovations in big data and machine learning
520			_a"In the last two decades, machine learning has been dramatically developed and is still experiencing a fast and ever-lasting change in paradigm, methodology, applications, and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on the diversity and complexity. Machine Learning Approaches and Applications Applied Intelligence for Healthcare Data Analytics presents a variety of techniques design to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design, along with interdisciplinary challenges. This book is useful to research scholars and students involved in critical condition analysis and computation models"-- _cProvided by publisher.
505	0		_a1. Machine Learning in Healthcare. 2. Feature Extraction and Applications of Bio Signals. 3. Machine Learning Methods for Managing Parkinson⁰́₉s Disease. 4. Challenges of Medical Text and Image Processing. 5. Machine Learning Solutions in Computer-Aided Medical Diagnosis. 6. Rule Learning in Healthcare and Health Services Research. 7. Diagnosis in Medical Imaging. 8. Identifying Diseases and Diagnosis Using Machine Learning. 9. Machine Learning-Based Behavioral Modification. 10. Smart Health Records. 11. Treatment Recommendation System. 12. Smart Health Informatics System. 13. Natural Language Processing Utilization in Healthcare. 14. Clinical Decision Support and Predictive Analytics. 15. Bioinformatics and Biometrics. 16. Human Computer Interfaces and Usability. 17. Education and Capacity Building. 18. Learning Analytics for Competence Assessment. 19. Patient Simulators. 20. Serious Gaming. 21. Patient Empowerment and Engagement. 22. Social Media, Mobile Apps, and Patient Portals. 23. Human Factors and Technology Adoption. 24. Surveillance System. 25. Robotics. 26. Object Detection. 27. Traffic Analysis. 28. Big Data in Healthcare Systems. 29. Advanced Decision-Making and Data Analytics. 30. Emergence of Decision Support Systems. 31. Big Data Based Frameworks and Machine Learning. 32. Predictive Analysis and Modeling. 33. Security and Privacy with Machine Learning Systems. 34. Role of Social Media in Healthcare Analytics. 35. Big Data Based Case Studies for Healthcare Analytics. 36. Machine Learning and Deep Learning Paradigms and Case Studies. 37. Machine Learning in Agriculture.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMedical informatics.
650		7	_aTECHNOLOGY / Operations Research _2bisacsh
700	1		_aKumar, Abhishek, _eeditor.
700	1		_aSreenatha, Anavatti G., _eeditor.
700	1		_aDubey, Ashutosh Kumar, _eeditor.
700	1		_aRathore, Pramod Singh, _d1988- _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003132110
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c4845 _d4845