Abstract
A graph-based probability model has been defined that represents the relations between primary and secondary diagnoses and procedures in a file of episodes. This model has been used as a basis of an application that permits the graphical visualization of the relations between diagnoses and procedures. The application can be used by physicians to detect diagnosis or procedure structures that are hidden in the data of assisted patients in a health care center and to perform probability data analysis. The application has been tested with the data of the Hospital Joan XIII in Tarragona (Spain). © Springer-Verlag Berlin Heidelberg 2004.
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CITATION STYLE
Riaño, D., & Aslanidis, I. (2004). Finding relations in medical diagnoses and procedures. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3337, 269–280. https://doi.org/10.1007/978-3-540-30547-7_28
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