04063nam a22006375i 4500 978-981-97-3312-5 DE-He213 20251030112628.0 cr nn 008mamaa 240713s2024 si | s |||| 0|eng d 9789819733125 978-981-97-3312-5 10.1007/978-981-97-3312-5 doi Q325.5-.7 UYQM bicssc MAT029000 bisacsh UYQM thema Smart Healthcare and Machine Learning [electronic resource] / edited by Mousmi Ajay Chaurasia, Prasanalakshmi Balaji, Alejandro C. Frery. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIII, 337 p. 128 illus., 115 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Advanced Technologies and Societal Change, 2191-6861 -- Predictive Modeling for Patient Outcomes in Smart Healthcare Systems. -- Machine Learning for Personalized Treatment Recommendations. -- Smart Health Monitoring: Data Collection and Analysis with Machine Learning. -- Enhancing Medical Imaging through Dimension Reduction Learning. -- Natural Language Processing for Health Record Management. -- Machine Learning-driven Drug Discovery and Development. The book explores the convergence of healthcare and cutting-edge technology, making it a captivating subject for readers interested in future research. Smart healthcare with machine learning techniques offers a transformative paradigm that utilizes the power of new technology, data analytics, and interconnected devices to enhance the quality, efficiency, and accessibility of healthcare services. This involves leveraging Internet of Things (IoT) devices, wearable technology, and machine learning algorithms to monitor patient health, predict medical conditions, and offer personalized treatment recommendations. This innovative combination not only enhances diagnostics and treatment but also addresses the research challenges of healthcare access and delivery in an increasingly connected world. By exploring the synergy between smart healthcare and machine learning, the book helps to understand how these technologies can collaborate to revolutionize patient care and healthcare delivery. This book is an outcome with applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach. Machine learning. 55059 Health services administration. 61649 Internet of things. 58845 Biomedical engineering. Social medicine. 62456 Medical informatics. 60693 Machine Learning. 55059 Health Care Management. 67006 Internet of Things. 58845 Medical and Health Technologies. Health, Medicine and Society. 69853 Health Informatics. Chaurasia, Mousmi Ajay. editor. edt http://id.loc.gov/vocabulary/relators/edt 80534 Balaji, Prasanalakshmi. editor. edt http://id.loc.gov/vocabulary/relators/edt 80535 Frery, Alejandro C. editor. edt http://id.loc.gov/vocabulary/relators/edt 80536 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819733118 Printed edition: 9789819733132 Printed edition: 9789819733149 Advanced Technologies and Societal Change, 2191-6861 80537 https://doi.org/10.1007/978-981-97-3312-5 ZDB-2-SMA ZDB-2-SXMS 61583 61583