Figure 4
R Q 1 addresses implementation of H S C M L across contexts and domains and connects primarily to Section 3.1, context-focused analysis. R Q 2 addresses dimensions of H S C M L data quality across domains and connects to Section 3.2, domain-focused analysis of applications and data. This section considers M L model outputs and their use in each application domain, together with data composition and data quality focuses. R Q 3 addresses dimensions and influencing factors of H S C M L model quality and connects to Section 3.3, H S C M L model quality. This section considers model rationale and qualities across studies and factors affecting model qualities. The analyses draw on C classes for context, O classes for outcome, I classes for intervention and M classes for mechanism. Cross-context analysis compares applications and outcomes across contexts. Solid arrows indicate primary support, and dashed connections indicate secondary support.Analyses in SLR based on the CIMO classification framework
Source: Authors’ own work