A java-based application for differential diagnosis of hematopoietic neoplasms using immunophenotyping by flow cytometry.
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.
Nguyen
A N
AN
Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at Houston, Texas, USA. nguyen@casper.med.uth.tmc.edu
Milam
J D
JD
Johnson
K A
KA
Banez
E I
EI
D015703:Antigens, CD / Q000145:classification; D001185:Artificial Intelligence; D003196:Computer Graphics; D019992:Databases as Topic; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted; D003937:Diagnosis, Differential; D005434:Flow Cytometry; D019337:Hematologic Neoplasms / Q000175:diagnosis*; D006801:Humans; D016130:Immunophenotyping; D020407:Internet; D007938:Leukemia / Q000175:diagnosis; D008223:Lymphoma / Q000175:diagnosis; D010363:Pattern Recognition, Automated; D011381:Programming Languages; D012984:Software; D014584:User-Computer Interface
D015703:Antigens, CD