Machine Learning for Digital Behaviour Change Interventions (DCBIs)

Interventions that change clinician behaviour:

The behaviour change wheel: A new method for characterising and designing behaviour change interventions

BACKGROUND Improving the design and implementation of evidence-based practice depends on successful behaviour change interventions. This requires an appropriate method for characterising interventions and linking them to an analysis of the targeted behaviour. There exists a plethora of frameworks of behaviour change interventions, but it is not clear how well they serve this purpose. This paper...

Machine Learning for Gene Behaviour Classification

An interesting problem in biology is to determine the activation phase of genes. The human body contains nearly 20,000 genes. Many of these genes play a wide variety of roles in the cell cycle. Identifying the phase of activation of the gene can help determine its function in the gene. Experimentally determining the phase of all these genes can be expensive. Our tool attempts to use machine lea...

Health behaviour change interventions for couples: A systematic review

OBJECTIVES Partners are a significant influence on individuals' health, and concordance in health behaviours increases over time in couples. Several theories suggest that couple-focused interventions for health behaviour change may therefore be more effective than individual interventions. DESIGN A systematic review of health behaviour change interventions for couples was conducted. METHODS...

Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis

"Engagement" with digital behaviour change interventions (DBCIs) is considered important for their effectiveness. Evaluating engagement is therefore a priority; however, a shared understanding of how to usefully conceptualise engagement is lacking. This review aimed to synthesise literature on engagement to identify key conceptualisations and to develop an integrative conceptual framework invol...