Artificial intelligence for surveillance in public health

R Thiébaut, S Cossin - Yearbook of medical informatics, 2019 - thieme-connect.com
Objectives: To introduce and summarize current research in the field of Public Health and
Epidemiology Informatics. Methods: The 2018 literature concerning public health and …

Public health and epidemiology informatics

A Flahault, A Bar-Hen… - Yearbook of medical …, 2016 - thieme-connect.com
Objectives: The aim of this manuscript is to provide a brief overview of the scientific
challenges that should be addressed in order to unlock the full potential of using data from a …

[HTML][HTML] Public health and epidemiology informatics

R Thiebaut, F Thiessard - Yearbook of Medical Informatics, 2017 - thieme-connect.com
Objectives: To summarize current research in the field of Public Health and Epidemiology
Informatics. Methods: The complete 2016 literature concerning public health and …

Public health and epidemiology informatics: recent research trends

G Diallo, G Bordea - Yearbook of medical informatics, 2021 - thieme-connect.com
Objectives: To introduce and analyse current trends in Public Health and Epidemiology
Informatics. Methods: PubMed search of 2020 literature on public health and epidemiology …

Artificial intelligence in public health and epidemiology

R Thiébaut, F Thiessard - Yearbook of medical informatics, 2018 - thieme-connect.com
Objectives: To introduce and summarize current research in the field of Public Health and
Epidemiology Informatics. Methods: The 2017 literature concerning public health and …

[HTML][HTML] Social media based surveillance systems for healthcare using machine learning: a systematic review

A Gupta, R Katarya - Journal of biomedical informatics, 2020 - Elsevier
Background Real-time surveillance in the field of health informatics has emerged as a
growing domain of interest among worldwide researchers. Evolution in this field has helped …

Machine learning for disease surveillance or outbreak monitoring: a review

M Cabatuan, M Manguerra - 2020 IEEE 12th International …, 2020 - ieeexplore.ieee.org
Amidst the global pandemic, the methodical acquisition, analysis, and evaluation of health-
related data is crucial to learn from experience and strengthen preparedness for future …

Syndromic surveillance using web data: a systematic review

L Samaras, E García-Barriocanal, MA Sicilia - Innovation in Health …, 2020 - Elsevier
During the recent years, a lot of debate is taken place about the evolution of Smart
Healthcare systems. Particularly, how these systems can help people improve human …

Artificial intelligence in public health: the potential of epidemic early warning systems

CR MacIntyre, X Chen… - Journal of …, 2023 - journals.sagepub.com
The use of artificial intelligence (AI) to generate automated early warnings in epidemic
surveillance by harnessing vast open-source data with minimal human intervention has the …

Digital disease detection: A systematic review of event-based internet biosurveillance systems

J O'Shea - International journal of medical informatics, 2017 - Elsevier
Background Internet access and usage has changed how people seek and report health
information. Meanwhile, infectious diseases continue to threaten humanity. The analysis of …