東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advances in fuzzy-based internet of ...

Hassan, Ahdi, (1991-)

FindBook

Google Book

Amazon

博客來

Advances in fuzzy-based internet of medical things (IoMT)

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in fuzzy-based internet of medical things (IoMT)/ edited by Satya Prakash Yadav ... [et al.]
其他作者:	Hassan, Ahdi,
出版者:	Hoboken, NJ :John Wiley & Sons ; : 2024.,
面頁冊數:	1 online resource (309 p.)
標題:	Fuzzy systems in medicine. -
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781394242252
ISBN:	9781394242252

Advances in fuzzy-based internet of medical things (IoMT)
Advances in fuzzy-based internet of medical things (IoMT)[electronic resource] /edited by Satya Prakash Yadav ... [et al.] - 1st ed. - Hoboken, NJ :John Wiley & Sons ;2024. - 1 online resource (309 p.)

Includes bibliographical references and index.

ADVANCES IN FUZZY-BASED INTERNET OF MEDICAL THINGS (IOMT) This book explores the latest trends, transitions, and advancements of the Internet of Medical Things whose integration through cloud-hosted software applications adds required intelligence from tools such as medical instruments, scanners, and appliances, enabling fuzzy logic to help medical professionals establish linguistic concepts in deciding diagnosis and prognosis. The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. Furthermore, chronic disease management is another vital domain getting increased attention. The distinct advancements in the fuzzy logic field are useful in various advanced medical care functionalities and facilities. The readers will discover: new and innovative features of health care by using fuzzy logic that raises economic efficiency at macro and micro levels; expounds on fuzzy logic techniques used in medical science; describes the evolution of the fuzzy logic paradigm and how it helps physicians decide on diagnosis and prognosis; uncovers how trust management is dealt with between patients and medical officials to help advance the fuzzy logic field; provides case studies, various technology advancements, and practical aspects on the impacts and challenges of fuzzy-based Internet of Medical Things. Audience The book will be read and used by researchers in artificial intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers.

ISBN: 9781394242252Subjects--Topical Terms:

923872
Fuzzy systems in medicine.

LC Class. No.: R859.7.F89 / A38 2024

Dewey Class. No.: 610.1/5113223

Advances in fuzzy-based internet of medical things (IoMT)
LDR:03219cmm a2200325 a 4500 001 2416674
005 20251017072503.0
006 m o d
007 cr cnu---unuuu
008 260303s2024 nju ob 001 0 eng d
020 $a 9781394242252 $q (electronic bk.)
020 $a 1394242255 $q (electronic bk.)
020 $a 9781394242245 $q (electronic bk.)
020 $a 1394242247 $q (electronic bk.)
020 $a 9781394242238 $q (electronic bk.)
020 $a 1394242239 $q (electronic bk.)
020 $z 9781394242221 $q (hardcover)
020 $z 1394242220 $q (hardcover)
035 $a 9781394242252
040 $a MiAaPQ $b eng $c MiAaPQ $d MiAaPQ
041 0 $a eng
050 4 $a R859.7.F89 $b A38 2024
082 0 4 $a 610.1/5113223 $2 23
245 0 0 $a Advances in fuzzy-based internet of medical things (IoMT) $h [electronic resource] / $c edited by Satya Prakash Yadav ... [et al.]
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons ; $a Beverly, MA : $b Scrivener, $c 2024.
300 $a 1 online resource (309 p.)
504 $a Includes bibliographical references and index.
520 $a ADVANCES IN FUZZY-BASED INTERNET OF MEDICAL THINGS (IOMT) This book explores the latest trends, transitions, and advancements of the Internet of Medical Things whose integration through cloud-hosted software applications adds required intelligence from tools such as medical instruments, scanners, and appliances, enabling fuzzy logic to help medical professionals establish linguistic concepts in deciding diagnosis and prognosis. The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. Furthermore, chronic disease management is another vital domain getting increased attention. The distinct advancements in the fuzzy logic field are useful in various advanced medical care functionalities and facilities. The readers will discover: new and innovative features of health care by using fuzzy logic that raises economic efficiency at macro and micro levels; expounds on fuzzy logic techniques used in medical science; describes the evolution of the fuzzy logic paradigm and how it helps physicians decide on diagnosis and prognosis; uncovers how trust management is dealt with between patients and medical officials to help advance the fuzzy logic field; provides case studies, various technology advancements, and practical aspects on the impacts and challenges of fuzzy-based Internet of Medical Things. Audience The book will be read and used by researchers in artificial intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers.
588 $a Description based on publisher supplied metadata and other sources.
650 0 $a Fuzzy systems in medicine. $3 923872
700 1 $a Hassan, Ahdi, $d 1991- $3 3729914
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781394242252