000			02885nam a22002657a 4500
003			CUTN
005			20250708115215.0
008			250708b |||||||| |||| 00| 0 eng d
020			_a9780367487935
041			_aEnglish
082			_223 _a006.31 _bBAN
100			_aBansal, Himani
245			_aMachine learning and analytics in healthcare systems : _bPrinciples and applications / _cEdited by Himani Bansal1 et. al.
250			_a1st ed.
260			_aBoca Raton : _bCRC Press, _c2021.
300			_axii, 261 p.: _bill.; (chiefly color); _c15.6 x 2.06 x 23.39 cm.
440			_aGreen engineering and technology: concepts and applications
505			_aChapter 1 Data Analytics in Healthcare Systems Principles, Challenges, and Applications</P><B><P> Chapter 2 </B>Systematic View and Impact of Machine Learning in Healthcare Systems</P><B><P> Chapter 3 </B>Foundation of Machine Learning-Based Data Classification Techniques for Health Care</P><B><P> Chapter 4 </B>Deep Learning for Computer-Aided Medical Diagnosis</P><B><P> Chapter 5 </B>Machine Learning Classifiers in Health Care</P><B><P> Chapter 6 </B>Machine Learning Approaches for Analysis in Healthcare Informatics</P><B><P> Chapter 7 </B>Prediction of Epidemic Disease Outbreaks, Using Machine Learning</P><B><P> Chapter 8 </B>Machine Learning-Based Case Studies for Healthcare Analytics: Electronic Health Records, Smart Health Monitoring, Disease Prediction, Precision Medicine, and Clinical Support Systems</P><B><P> Chapter 9 </B>Applications of Computational Methods and Modeling in Drug Delivery</P><B><P> Chapter 10 </B>Healthcare Data Analytics Using Business Intelligence Tool</P><B><P>Chapter 11 </B>Machine Learning-Based Data Classification Techniques in Healthcare Using Massive Online Analysis Framework</P><B><P>Chapter 12 </B>Prediction of Coronavirus (COVID-19) Disease Health Monitoring with Clinical Support System
520			_aThis book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications
650			_aApprentissage automatique
650			_aMedical informatics
700			_aBalusamy, Balamurugan
700			_aPoongodi T.
942			_2ddc _cBOOKS
999			_c44847 _d44847