Abstract
Medical models based on possibility theory are usually much simpler than those based on probability theory, but they lack foundations. The most foundational question is: How to obtain a possibility distribution for a modeling process? As one of the solutions, a simple framework is proposed built on the conjecture that a probability distribution for an uncertain process can be predicted by the process’s possibility distribution. The case of the perfect prediction and the case of possibility and probability distributions related less than perfect (modeling ”ideal body weight”) are considered in this paper.
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Bolotin, A. (2003). Possibility-Probability Relation in Medical Models. In: Perner, P., Brause, R., Holzhütter, HG. (eds) Medical Data Analysis. ISMDA 2003. Lecture Notes in Computer Science, vol 2868. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39619-2_1
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DOI: https://doi.org/10.1007/978-3-540-39619-2_1
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