An online decision support system for diagnosing hematologic malignancies by flow cytometry immunophenotyping Online publication date: Sun, 13-Jul-2008
by You-Wen Qian, Dinesh P. Mital, Stephen Lee
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 1, No. 1, 2008
Abstract: A knowledge-based decision support system to interpret online flow cytometry results for hematologic malignacies has been developed in this study as a complete client-server application. The list mode data files are loaded to the system where gating, dot plot, histogram and contour plot have been performed. Upon gating, the CD marker results are generated as a percentage with associated positive or negative designation. Differential diagnosis with different confidence levels is generated based on a semantic network of knowledge base embedded in an extensible mark up language (XML). Java programming is used to implement the inference engine where tree structure and search algorithm are employed. A set of 273 flow cytometry list mode data files are fed into the system and diagnosis was correctly included in top three differential diagnoses in 94% of all cases tested.
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