國立高雄大學圖資館 |

登入

回首頁

Connected health insights for sustainable developmentintegrating IoT, AI, and data-driven solutions /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Connected health insights for sustainable developmentby Shama Siddiqui ... [et al.].
其他題名:	integrating IoT, AI, and data-driven solutions /
其他作者:	Siddiqui, Shama.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	ix, 146 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Medical careTechnological innovations.
電子資源:	https://doi.org/10.1007/978-3-031-81433-4
ISBN:	9783031814334$q(electronic bk.)

Connected health insights for sustainable developmentintegrating IoT, AI, and data-driven solutions /
Connected health insights for sustainable developmentintegrating IoT, AI, and data-driven solutions /[electronic resource] :by Shama Siddiqui ... [et al.]. - Cham :Springer Nature Switzerland :2025. - ix, 146 p. :ill. (chiefly color), digital ;24 cm.

Chapter 1: Pioneering Health Technologies for Sustainable Development. - Chapter 2: Fundamentals of Internet of Things (IoT), Artificial Intelligence (AI) and Data Science (DS) -- Chapter 3: Innovations in Continuous Patient Monitoring -- Chapter 4:Mobile Health (m-Health) -- Chapter 5 Personalized Medicine -- Chapter 6 Revolutionizing Digital Imaging -- Chapter 7 Public Health Surveillance and Resource Optimization -- Chapter 8 The Way Forward.

This book offers a comprehensive look at how emerging technologies like IoT, Data Science, and AI can drive significant advancements in healthcare, particularly in alignment with Sustainable Development Goal 3 (SDG 3) - Good Health and Well-Being. By bridging technological innovation with the critical need for improved healthcare systems, this book explores how these technologies are revolutionizing both personal and population health management. Readers will gain insights into how IoT-enabled devices, AI-powered analytics, and data-driven decision-making tools enhance everything from continuous patient monitoring to personalized medicine and resource optimization for governments. The initial chapters provide a foundational understanding of IoT, AI, and Data Science, followed by in-depth discussions on their integration into healthcare applications. Key topics include continuous health monitoring through wearable technologies, the role of mobile health (m-Health) in making healthcare more accessible, and the use of advanced analytics in diagnosing diseases early. Personalized medicine is explored as a pivotal breakthrough in improving patient outcomes by leveraging data from IoT devices and AI-driven models to tailor treatment plans. Further, the book also covers the advancements in medical imaging and how it supports real-time diagnosis and treatment. Towards the latter part, the book delves into population health surveillance and healthcare resource management through the combined power of these technologies. It presents how governments and healthcare providers can optimize their resources, predict disease outbreaks, and manage pandemics more effectively. Additionally, ethical concerns surrounding the use of these technologies in healthcare are discussed, providing readers with a holistic view of both the opportunities and challenges posed by the IoT-Data Science-AI nexus in achieving SDG 3.

ISBN: 9783031814334$q(electronic bk.)

Standard No.: 10.1007/978-3-031-81433-4doiSubjects--Topical Terms:

567541
Medical care
--Technological innovations.

LC Class. No.: R855.3

Dewey Class. No.: 610.285

Connected health insights for sustainable developmentintegrating IoT, AI, and data-driven solutions /
LDR:03441nmm a2200337 a 4500 001 679499
003 DE-He213
005 20250116115253.0
006 m d
007 cr nn 008maaau
008 251110s2025 sz s 0 eng d
020 $a 9783031814334$q(electronic bk.)
020 $a 9783031814327$q(paper)
024 7 $a 10.1007/978-3-031-81433-4 $2 doi
035 $a 978-3-031-81433-4
040 $a GP $c GP
041 0 $a eng
050 4 $a R855.3
072 7 $a MBG $2 bicssc
072 7 $a UB $2 bicssc
072 7 $a MED117000 $2 bisacsh
072 7 $a UXT $2 thema
082 0 4 $a 610.285 $2 23
090 $a R855.3 $b .C752 2025
245 0 0 $a Connected health insights for sustainable development $h [electronic resource] : $b integrating IoT, AI, and data-driven solutions / $c by Shama Siddiqui ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a ix, 146 p. : $b ill. (chiefly color), digital ; $c 24 cm.
505 0 $a Chapter 1: Pioneering Health Technologies for Sustainable Development. - Chapter 2: Fundamentals of Internet of Things (IoT), Artificial Intelligence (AI) and Data Science (DS) -- Chapter 3: Innovations in Continuous Patient Monitoring -- Chapter 4:Mobile Health (m-Health) -- Chapter 5 Personalized Medicine -- Chapter 6 Revolutionizing Digital Imaging -- Chapter 7 Public Health Surveillance and Resource Optimization -- Chapter 8 The Way Forward.
520 $a This book offers a comprehensive look at how emerging technologies like IoT, Data Science, and AI can drive significant advancements in healthcare, particularly in alignment with Sustainable Development Goal 3 (SDG 3) - Good Health and Well-Being. By bridging technological innovation with the critical need for improved healthcare systems, this book explores how these technologies are revolutionizing both personal and population health management. Readers will gain insights into how IoT-enabled devices, AI-powered analytics, and data-driven decision-making tools enhance everything from continuous patient monitoring to personalized medicine and resource optimization for governments. The initial chapters provide a foundational understanding of IoT, AI, and Data Science, followed by in-depth discussions on their integration into healthcare applications. Key topics include continuous health monitoring through wearable technologies, the role of mobile health (m-Health) in making healthcare more accessible, and the use of advanced analytics in diagnosing diseases early. Personalized medicine is explored as a pivotal breakthrough in improving patient outcomes by leveraging data from IoT devices and AI-driven models to tailor treatment plans. Further, the book also covers the advancements in medical imaging and how it supports real-time diagnosis and treatment. Towards the latter part, the book delves into population health surveillance and healthcare resource management through the combined power of these technologies. It presents how governments and healthcare providers can optimize their resources, predict disease outbreaks, and manage pandemics more effectively. Additionally, ethical concerns surrounding the use of these technologies in healthcare are discussed, providing readers with a holistic view of both the opportunities and challenges posed by the IoT-Data Science-AI nexus in achieving SDG 3.
650 0 $a Medical care $x Technological innovations. $3 567541
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 0 $a Sustainable development. $3 177699
650 1 4 $a Health Informatics. $3 274212
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Internet of Things. $3 913131
650 2 4 $a Data Science. $3 913495
700 1 $a Siddiqui, Shama. $3 992442
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-81433-4
950 $a Computer Science (SpringerNature-11645)