Machine Learning in population health: Creating conditions that ensure good health.

Machine Learning (ML) in healthcare has an affinity for patient-centred care and individual-level predictions. Both individual health and population health are not divergent, but at the same time, both are not the same and may require different approaches. ML in public health applications receives far less attention. The skills available to public health organizations to transition towards an integrated data analytics is limited. Hence the latest advances in ML and artificial intelligence (AI) have made very little impact on public health analytics and decision making.