國立虎尾科技大學 |

Smart healthcare and machine learning

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Smart healthcare and machine learning/ edited 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 intelligence - Medical applications. -
Online resource:	https://doi.org/10.1007/978-981-97-3312-5
ISBN:	9789819733125

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

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

600038
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Smart healthcare and machine learning
LDR:02649nam a2200337 a 4500 001 1134252
003 DE-He213
005 20240713130858.0
006 m d
007 cr nn 008maaau
008 241213s2024 si s 0 eng d
020 $a 9789819733125 $q (electronic bk.)
020 $a 9789819733118 $q (paper)
024 7 $a 10.1007/978-981-97-3312-5 $2 doi
035 $a 978-981-97-3312-5
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78
072 7 $a UYQM $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b S636 2024
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 : $c 2024. $b Springer Nature Singapore : $b Imprint: Springer,
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 600038
650 0 $a Machine learning. $3 561253
650 1 4 $a Machine Learning. $3 1137723
650 2 4 $a Health Care Management. $3 1019864
650 2 4 $a Internet of Things. $3 1048478
650 2 4 $a Medical and Health Technologies. $3 1387813
650 2 4 $a Health, Medicine and Society. $3 1366450
650 2 4 $a Health Informatics. $3 593963
700 1 $a Chaurasia, Mousmi Ajay. $e editor. $3 1397888
700 1 $a Balaji, Prasanalakshmi. $3 1455632
700 1 $a Frery, Alejandro C. $3 898766
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Advanced technologies and societal change. $3 891386
856 4 0 $u https://doi.org/10.1007/978-981-97-3312-5
950 $a Mathematics and Statistics (SpringerNature-11649)