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Smart healthcare and machine learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart healthcare and machine learningedited by Mousmi Ajay Chaurasia, Prasanalakshmi Balaji, Alejandro C. Frery.
other author:	Chaurasia, Mousmi Ajay.
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xiii, 337 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceMedical applications.
Online resource:	https://doi.org/10.1007/978-981-97-3312-5
ISBN:	9789819733125$q(electronic bk.)

Smart healthcare and machine learning
Smart healthcare and machine learning[electronic resource] /edited by Mousmi Ajay Chaurasia, Prasanalakshmi Balaji, Alejandro C. Frery. - Singapore :Springer Nature Singapore :2024. - xiii, 337 p. :ill. (some col.), digital ;24 cm. - Advanced technologies and societal change,2191-6861. - Advanced technologies and societal change..

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.

ISBN: 9789819733125$q(electronic bk.)

Standard No.: 10.1007/978-981-97-3312-5doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Smart healthcare and machine learning
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245 0 0 $a Smart healthcare and machine learning $h [electronic resource] / $c edited by Mousmi Ajay Chaurasia, Prasanalakshmi Balaji, Alejandro C. Frery.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xiii, 337 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advanced technologies and societal change, $x 2191-6861
505 0 $a 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.
520 $a 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.
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 0 $a Machine learning. $3 188639
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650 2 4 $a Medical and Health Technologies. $3 921447
650 2 4 $a Health, Medicine and Society. $3 913529
650 2 4 $a Health Informatics. $3 274212
700 1 $a Chaurasia, Mousmi Ajay. $3 917806
700 1 $a Balaji, Prasanalakshmi. $3 980007
700 1 $a Frery, Alejandro C. $3 321976
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830 0 $a Advanced technologies and societal change. $3 561161
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