Towards an Empirical Model of Argumentation in Medical Genetics
نویسنده
چکیده
We present a coding scheme, based on a Bayesian Network (BN) formalism, for describing probabilistic and causal information in arguments in medical genetics. The scheme was applied to a corpus of genetic counseling letters and evaluated for intercoder reliability. Results show that the model is highly relevant to the corpus while intercoder reliability of the coding scheme is good. We plan to use the coding scheme in an empirical study of argument strategies. Since the coding scheme refers only to BN concepts and general concepts in medical diagnosis, it may be useful to other researchers for empirical studies of natural language corpora in medicine.
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