Fuzzy Cognitive Maps (FCMs) are widely used to simulate complex systems. However, they
cannot handle nonlinear relationships or time delays/lags, nor can they fully represent …

Abstract Fuzzy Cognitive Maps were missing in the latest guidance by Kelly et al.(2013),
which reviewed five common integrated modeling approaches. Through a scoping review …

Multiple Indonesian cities currently aim to qualify as “smart cities.” Previous research on
defining smart cities (eg, the implementation-oriented maturity model) tends to focus on …

FCMpy is an open-source Python module for building and analyzing Fuzzy Cognitive Maps
(FCMs). The module provides tools for end-to-end projects involving FCMs. It is able to …

Modeling approaches can support policy coherence by capturing the logistics of an
intervention involving multiple individuals, or by identifying goals and preferences of each …

Breast cancer is the most deadly disease affecting women and thus it is natural for women
aged 40–49 years (who have a family history of breast cancer or other related cancers) to …

Background Data-intensive research in medicine and healthcare such as health-related big
data research (HBDR) implies that data from clinical routine, research and patient-reported …

Background: despite a broad consensus on their importance, applications of systems
thinking in policymaking and practice have been limited. This is partly caused by the …

Background Intervention planners use logic models to design evidence-based health
behavior interventions. Logic models that capture the complexity of health behavior …

In the process of developing interventions targeting health behaviors (eg, smoking
cessation, safe sex, healthy nutrition), intervention planners interact with multiple types of …