Precision in Prevention and Health Surveillance: How Artificial Intelligence May Improve the Time of Identification of Health Concerns through Social Media Content Analysis.

Journal: Yearbook of medical informatics

PMID: 40199301

Abstract

OBJECTIVE: To explore how artificial intelligence (AI) methodologies, particularly through the analysis of social media content, can enhance "precision in prevention and health surveillance" (2024 Yearbook topic). The focus is on leveraging advanced data analytics to improve the timeliness and accuracy of identifying emerging health concerns, thus enabling more proactive and effective health interventions.

Authors

Pascal Staccini

IRIS Department, URE RETINES, Faculté de Médecine, Université Côte d'Azur, France.
Annie Y S Lau

Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.

Keywords

Artificial Intelligence Consumer Health Informatics Humans Machine Learning Natural Language Processing Public Health Public Health Surveillance Social Media

External Resources

View on PubMed Access via DOI PubMed (40199301)

Precision in Prevention and Health Surveillance: How Artificial Intelligence May Improve the Time of Identification of Health Concerns through Social Media Content Analysis.

Abstract

Authors

Keywords

External Resources

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