Wednesday 22 July 15:40 - 17:10

Hall: 05 - Ottagonale

Chair and Presenter: Qiao Shan

Division: Division 8: Health Psychology

The generation of Big Data (characterized by 4V: volume, variety, velocity, and veracity) and the advanced analytics techniques including Artificial Intelligence and Machine learning (AI/ML) are profoundly shaping the approaches to our understanding, assessing, and promoting health behaviors. AI/ML approaches can combine data to evaluate the complex interplay between individual, contextual, and structural factors influencing people's behaviors and health outcomes. In addition, the AI/ML approaches may reveal events that are latent or transient in traditional analysis of datasets by identifying unexpected associations through analyses of diverse data. For example, AI/ML research could shed light on behaviors that occur outside of venues surveyed by health professionals, or behaviors that are significantly modified by the presence of others, and thus are difficult to document. AI/ML approaches have also been used in health education and promotion, demonstrating exciting abilities in personalized health intervention. The generation of Big Data (characterized by 4V: volume, variety, velocity, and veracity) and the advanced analytics techniques including Artificial Intelligence and Machine learning (AI/ML) are profoundly shaping the approaches to our understanding, assessing, and promoting health behaviors. AI/ML approaches can combine data to evaluate the complex interplay between individual, contextual, and structural factors influencing people's behaviors and health outcomes. In addition, the AI/ML approaches may reveal events that are latent or transient in traditional analysis of datasets by identifying unexpected associations through analyses of diverse data. For example, AI/ML research could shed light on behaviors that occur outside of venues surveyed by health professionals, or behaviors that are significantly modified by the presence of others, and thus are difficult to document. AI/ML approaches have also been used in health education and promotion, demonstrating exciting abilities in personalized health intervention.