Big data in public health: terminology, machine learning, and privacy
The digital world is generating data at a staggering and still increasing rate. While these “big
data” have unlocked novel opportunities to understand public health, they hold still greater …
data” have unlocked novel opportunities to understand public health, they hold still greater …
The applications of eHealth technologies in the management of asthma and allergic diseases
A Alvarez‐Perea, V Dimov, FD Popescu… - Clinical and …, 2021 - Wiley Online Library
Portable devices, such as smartphones and mobile Internet access have become ubiquitous
in the last decades. The term 'eHealth'stands for electronic health. The tools included in the …
in the last decades. The term 'eHealth'stands for electronic health. The tools included in the …
[HTML][HTML] Current and potential applications of artificial intelligence in medical imaging practice: A narrative review
J Potočnik, S Foley, E Thomas - Journal of Medical Imaging and Radiation …, 2023 - Elsevier
Background and purpose Artificial intelligence (AI) is present in many areas of our lives.
Much of the digital data generated in health care can be used for building automated …
Much of the digital data generated in health care can be used for building automated …
Artificial intelligence and the future of life sciences
ML Leite, LS de Loiola Costa, VA Cunha, V Kreniski… - Drug discovery today, 2021 - Elsevier
Over the past few decades, the number of health and 'omics-related data'generated and
stored has grown exponentially. Patient information can be collected in real time and …
stored has grown exponentially. Patient information can be collected in real time and …
A quick review of ethics, design thinking, gender, and AI development
A Kronqvist, RA Rousi - … Journal of Design Creativity and Innovation, 2023 - Taylor & Francis
ABSTRACT Ethics, artificial intelligence (AI), and design thinking are current buzz words.
The threat of bias-riddled machine learning algorithms is represented media-wide …
The threat of bias-riddled machine learning algorithms is represented media-wide …
The dark side of personalization recommendation in short-form video applications: an integrated model from information perspective
J Li, H Zhao, S Hussain, J Ming, J Wu - International Conference on …, 2021 - Springer
Based on the psychological reactance, this study tries to explore the dark side and grey role
of the personalization recommendation system of short-form video application in …
of the personalization recommendation system of short-form video application in …
[PDF][PDF] Impact of “eHealth” in allergic diseases and allergic patients
DR Stukus - J Investig Allergol Clin Immunol, 2019 - jiaci.org
The emergence of new technology enables allergists and patients to compile data and
receive feedback regarding key symptoms, risk behavior, and/or management. The term …
receive feedback regarding key symptoms, risk behavior, and/or management. The term …
[图书][B] Data Ethics and Challenges
S Shukla, JP George, K Tiwari, JV Kureethara - 2022 - Springer
Data is the essential element of contemporary society. This generation has evolved into a
data-informed society. Advancements in technology in various forms catapult this evolution …
data-informed society. Advancements in technology in various forms catapult this evolution …
Relational privacy: Where the East and the West could meet
Y Ma - Proceedings of the Association for Information Science …, 2019 - Wiley Online Library
abstract This paper argues that relational privacy can be used as a starting point for
conceptualizing privacy in Eastern cultures for it aligns with an Eastern philosophical …
conceptualizing privacy in Eastern cultures for it aligns with an Eastern philosophical …
Sceptics and supporters of corporate use of behavioural data: Attitudes towards informational privacy and Internet surveillance in Sweden
S Leckner - Northern Lights, 2018 - intellectdiscover.com
With the growing use of the Internet, companies are increasingly collecting and using
personal data for commodifying purposes, resulting in both benefits and privacy risks for …
personal data for commodifying purposes, resulting in both benefits and privacy risks for …