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1. |
Record Nr. |
UNIORUON00058856 |
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Autore |
AMANO Shigeru |
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Titolo |
Heiminsha no onna : Nishikawa Fumiko jiden / Amano Shigeru |
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Pubbl/distr/stampa |
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Descrizione fisica |
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V, 427 p. : c. di tav. ; 20 cm |
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Classificazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910874688903321 |
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Autore |
Chaurasia Mousmi Ajay |
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Titolo |
Smart Healthcare and Machine Learning / / edited by Mousmi Ajay Chaurasia, Prasanalakshmi Balaji, Alejandro C. Frery |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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9789819733125 |
9789819733118 |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (340 pages) |
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Collana |
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Advanced Technologies and Societal Change, , 2191-6861 |
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Altri autori (Persone) |
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BalajiPrasanalakshmi |
FreryAlejandro C |
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Disciplina |
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Soggetti |
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Machine learning |
Health services administration |
Internet of things |
Biomedical engineering |
Social medicine |
Medical informatics |
Machine Learning |
Health Care Management |
Internet of Things |
Medical and Health Technologies |
Health, Medicine and Society |
Health Informatics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- 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. |
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Sommario/riassunto |
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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. |
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