Abstract
Modeling preventive medical checkup systems (PMCS) is an important part to predict the future demand for healthcare coverage. In this paper we show how to model a two stage interdependent System as it applies to basic cancer prevention. Starting with a short introduction of the two used social science modeling techniques we show the basic principle of the preventive cancer checkup process (PCCP) and how it was modeled with these opposing approaches. We then extract the key benefits from each technique and also their shortcomings when applying it onto the PCCP. Furthermore we show at what level of detail which method should be used to gain the most valuable insight into those complex checkup systems.
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Martischnig, A., Voessner, S., Stark, G. (2010). Modeling Two Stage Preventive Medical Checkup Systems with Social Science Approaches. In: Filipe, J., Fred, A., Sharp, B. (eds) Agents and Artificial Intelligence. ICAART 2009. Communications in Computer and Information Science, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11819-7_20
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DOI: https://doi.org/10.1007/978-3-642-11819-7_20
Publisher Name: Springer, Berlin, Heidelberg
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