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- W2137003631 abstract "This paper describes a knowledge-based system for the diagnosis of acute abdominal pain, in which scores and rule sets are integrated. The system is linked to a documentation program via a medical data dictionary and allows an on-line application of knowledge modules to clinical data. Different rule sets were generated by automatic rule generation (C4.5) from a prospective database. The rule sets and two published diagnostic scores were evaluated on a test set, resulting in a diagnostic accuracy of 57% for a general knowledge module and between 44 and 88% for specific knowledge modules. The program is fully functioning and has been evaluated carefully in 14 German hospitals." @default.
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- W2137003631 date "2002-11-22" @default.
- W2137003631 modified "2023-09-28" @default.
- W2137003631 title "Decision support in acute abdominal pain using an expert system for different knowledge bases" @default.
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- W2137003631 doi "https://doi.org/10.1109/cbms.1997.596400" @default.
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