Digital Technologies for Clinical, Public and Global Health Surveillance

Arash Shaban-Nejad; Martin Michalowski; Simone Bianco

doi:10.1007/978-3-030-93080-6_1

Digital Technologies for Clinical, Public and Global Health Surveillance

Arash Shaban-Nejad, Martin Michalowski, Simone Bianco

Academics (Nursing)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Digital intelligent technologies are widely used to support the monitoring, detection, and prevention of diseases among individuals or communities. Artificial Intelligence offers a wide range of tools, methodologies, and techniques to collect, integrate, process, analyze and generate insights for improving care and conducting further exploratory and explanatory research. This introductory chapter first sets out the purpose of the book, which is to investigate the role of AI and digital technologies to improve personalized and population health, and then summarizes some of the recent developments in the field and sets up the stage for the rest of chapters in the book.

Original language	English (US)
Title of host publication	AI for Disease Surveillance and Pandemic Intelligence - Intelligent Disease Detection in Action
Editors	Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1-9
Number of pages	9
ISBN (Print)	9783030930790
DOIs	https://doi.org/10.1007/978-3-030-93080-6_1
State	Published - 2022
Event	5th International Workshop on Health Intelligence, W3PHAI 2021 held in conjection with 35th AAAI Conference on Artificial Intelligence, AAAI 2021 - Virtual, Online Duration: Feb 8 2021 → Feb 9 2021

Publication series

Name	Studies in Computational Intelligence
Volume	1013
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	5th International Workshop on Health Intelligence, W3PHAI 2021 held in conjection with 35th AAAI Conference on Artificial Intelligence, AAAI 2021
City	Virtual, Online
Period	2/8/21 → 2/9/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Digital health
Health intelligence
Smart health
Surveillance

Access

10.1007/978-3-030-93080-6_1

OpenUrl availability

Full text

Cite this

Shaban-Nejad, A., Michalowski, M., & Bianco, S. (2022). Digital Technologies for Clinical, Public and Global Health Surveillance. In A. Shaban-Nejad, M. Michalowski, & S. Bianco (Eds.), AI for Disease Surveillance and Pandemic Intelligence - Intelligent Disease Detection in Action (pp. 1-9). (Studies in Computational Intelligence; Vol. 1013). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-93080-6_1

Digital Technologies for Clinical, Public and Global Health Surveillance. / Shaban-Nejad, Arash; Michalowski, Martin; Bianco, Simone.
AI for Disease Surveillance and Pandemic Intelligence - Intelligent Disease Detection in Action. ed. / Arash Shaban-Nejad; Martin Michalowski; Simone Bianco. Springer Science and Business Media Deutschland GmbH, 2022. p. 1-9 (Studies in Computational Intelligence; Vol. 1013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shaban-Nejad, A, Michalowski, M & Bianco, S 2022, Digital Technologies for Clinical, Public and Global Health Surveillance. in A Shaban-Nejad, M Michalowski & S Bianco (eds), AI for Disease Surveillance and Pandemic Intelligence - Intelligent Disease Detection in Action. Studies in Computational Intelligence, vol. 1013, Springer Science and Business Media Deutschland GmbH, pp. 1-9, 5th International Workshop on Health Intelligence, W3PHAI 2021 held in conjection with 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Virtual, Online, 2/8/21. https://doi.org/10.1007/978-3-030-93080-6_1

Shaban-Nejad A, Michalowski M, Bianco S. Digital Technologies for Clinical, Public and Global Health Surveillance. In Shaban-Nejad A, Michalowski M, Bianco S, editors, AI for Disease Surveillance and Pandemic Intelligence - Intelligent Disease Detection in Action. Springer Science and Business Media Deutschland GmbH. 2022. p. 1-9. (Studies in Computational Intelligence). doi: 10.1007/978-3-030-93080-6_1

Shaban-Nejad, Arash ; Michalowski, Martin ; Bianco, Simone. / Digital Technologies for Clinical, Public and Global Health Surveillance. AI for Disease Surveillance and Pandemic Intelligence - Intelligent Disease Detection in Action. editor / Arash Shaban-Nejad ; Martin Michalowski ; Simone Bianco. Springer Science and Business Media Deutschland GmbH, 2022. pp. 1-9 (Studies in Computational Intelligence).

@inproceedings{9c2a6c2f0c4741fab893166068301895,

title = "Digital Technologies for Clinical, Public and Global Health Surveillance",

abstract = "Digital intelligent technologies are widely used to support the monitoring, detection, and prevention of diseases among individuals or communities. Artificial Intelligence offers a wide range of tools, methodologies, and techniques to collect, integrate, process, analyze and generate insights for improving care and conducting further exploratory and explanatory research. This introductory chapter first sets out the purpose of the book, which is to investigate the role of AI and digital technologies to improve personalized and population health, and then summarizes some of the recent developments in the field and sets up the stage for the rest of chapters in the book.",

keywords = "Digital health, Health intelligence, Smart health, Surveillance",

author = "Arash Shaban-Nejad and Martin Michalowski and Simone Bianco",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th International Workshop on Health Intelligence, W3PHAI 2021 held in conjection with 35th AAAI Conference on Artificial Intelligence, AAAI 2021 ; Conference date: 08-02-2021 Through 09-02-2021",

year = "2022",

doi = "10.1007/978-3-030-93080-6_1",

language = "English (US)",

isbn = "9783030930790",

series = "Studies in Computational Intelligence",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "1--9",

editor = "Arash Shaban-Nejad and Martin Michalowski and Simone Bianco",

booktitle = "AI for Disease Surveillance and Pandemic Intelligence - Intelligent Disease Detection in Action",

address = "Germany",

}

TY - GEN

T1 - Digital Technologies for Clinical, Public and Global Health Surveillance

AU - Shaban-Nejad, Arash

AU - Michalowski, Martin

AU - Bianco, Simone

PY - 2022

Y1 - 2022

N2 - Digital intelligent technologies are widely used to support the monitoring, detection, and prevention of diseases among individuals or communities. Artificial Intelligence offers a wide range of tools, methodologies, and techniques to collect, integrate, process, analyze and generate insights for improving care and conducting further exploratory and explanatory research. This introductory chapter first sets out the purpose of the book, which is to investigate the role of AI and digital technologies to improve personalized and population health, and then summarizes some of the recent developments in the field and sets up the stage for the rest of chapters in the book.

AB - Digital intelligent technologies are widely used to support the monitoring, detection, and prevention of diseases among individuals or communities. Artificial Intelligence offers a wide range of tools, methodologies, and techniques to collect, integrate, process, analyze and generate insights for improving care and conducting further exploratory and explanatory research. This introductory chapter first sets out the purpose of the book, which is to investigate the role of AI and digital technologies to improve personalized and population health, and then summarizes some of the recent developments in the field and sets up the stage for the rest of chapters in the book.

KW - Digital health

KW - Health intelligence

KW - Smart health

KW - Surveillance

UR - http://www.scopus.com/inward/record.url?scp=85127032775&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85127032775&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-93080-6_1

DO - 10.1007/978-3-030-93080-6_1

M3 - Conference contribution

AN - SCOPUS:85127032775

SN - 9783030930790

T3 - Studies in Computational Intelligence

SP - 1

EP - 9

BT - AI for Disease Surveillance and Pandemic Intelligence - Intelligent Disease Detection in Action

A2 - Shaban-Nejad, Arash

A2 - Michalowski, Martin

A2 - Bianco, Simone

PB - Springer Science and Business Media Deutschland GmbH

T2 - 5th International Workshop on Health Intelligence, W3PHAI 2021 held in conjection with 35th AAAI Conference on Artificial Intelligence, AAAI 2021

Y2 - 8 February 2021 through 9 February 2021

ER -

Digital Technologies for Clinical, Public and Global Health Surveillance

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this