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

Precision health and medicine = a di...

Shaban-Nejad, Arash.

FindBook

Google Book

Amazon

博客來

Precision health and medicine = a digital revolution in healthcare /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Precision health and medicine/ edited by Arash Shaban-Nejad, Martin Michalowski.
其他題名:	a digital revolution in healthcare /
其他作者:	Shaban-Nejad, Arash.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xix, 197 p. :ill. (some col.), digital ;24 cm.
內容註:	Preface -- Chapter 1. From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention -- Chapter 2. Constructing Accurate Confidence Intervals when Aggregating Social Media Data for Public Health Monitoring -- Chapter 3. MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry -- Chapter 4. Automatic Exercise Recognition with Machine Learning, etc.
Contained By:	Springer eBooks
標題:	Artificial intelligence - Medical applications -
電子資源:	https://doi.org/10.1007/978-3-030-24409-5
ISBN:	9783030244095

Precision health and medicine = a digital revolution in healthcare /
Precision health and medicinea digital revolution in healthcare /[electronic resource] :edited by Arash Shaban-Nejad, Martin Michalowski. - Cham :Springer International Publishing :2020. - xix, 197 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8431860-949X ;. - Studies in computational intelligence ;v.843..

Preface -- Chapter 1. From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention -- Chapter 2. Constructing Accurate Confidence Intervals when Aggregating Social Media Data for Public Health Monitoring -- Chapter 3. MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry -- Chapter 4. Automatic Exercise Recognition with Machine Learning, etc.

This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

ISBN: 9783030244095

Standard No.: 10.1007/978-3-030-24409-5doiSubjects--Topical Terms:

660945
Artificial intelligence
--Medical applications

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

Precision health and medicine = a digital revolution in healthcare /
LDR:02488nmm a2200337 a 4500 001 2213695
003 DE-He213
005 20200218170001.0
006 m d
007 cr nn 008maaau
008 201117s2020 sz s 0 eng d
020 $a 9783030244095 $q (electronic bk.)
020 $a 9783030244088 $q (paper)
024 7 $a 10.1007/978-3-030-24409-5 $2 doi
035 $a 978-3-030-24409-5
040 $a GP $c GP
041 0 $a eng
050 4 $a R859.7.A78
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 610.28563 $2 23
090 $a R859.7.A78 $b P923 2020
245 0 0 $a Precision health and medicine $h [electronic resource] : $b a digital revolution in healthcare / $c edited by Arash Shaban-Nejad, Martin Michalowski.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xix, 197 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.843
505 0 $a Preface -- Chapter 1. From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention -- Chapter 2. Constructing Accurate Confidence Intervals when Aggregating Social Media Data for Public Health Monitoring -- Chapter 3. MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry -- Chapter 4. Automatic Exercise Recognition with Machine Learning, etc.
520 $a This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.
650 0 $a Artificial intelligence $x Medical applications $x Congresses. $3 660945
650 0 $a Personalized medicine $v Congresses. $3 3443415
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Health Informatics. $3 892928
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
700 1 $a Shaban-Nejad, Arash. $3 3258638
700 1 $a Michalowski, Martin. $3 3443413
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.843. $3 3443414
856 4 0 $u https://doi.org/10.1007/978-3-030-24409-5
950 $a Intelligent Technologies and Robotics (Springer-42732)