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A java-based application for differential diagnosis of hematopoietic neoplasms using immunophenotyping by flow
A N Nguyen1, J D Milam, K A Johnson
1Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Texas, USA. nguyen@casper.med.uth.tmc.edu
Abstract:
We describe the implementation of a Java-based application for differential diagnosis of hematopoietic neoplasms using immunophenotyping by flow cytometry. The current version of this Java applet includes the knowledge-base for 33 hematopoietic neoplasms and 43 diagnostic immunophenotyping markers. Java, a new object-oriented computing language, helps facilitate development of this applet, a platform-independent module that can be implemented on the World Wide Web. As the Web rapidly becomes more accessible to users around the world, Web-based software may eventually form the core of decision-support systems in clinical settings. Java-based applications, such as the one described in this paper, are expected to contribute significantly in this area.