A java-based application for differential diagnosis of hematopoietic neoplasms using immunophenotyping by flow cytometry

Comput Biol Med. 2000 Jul;30(4):225-35. doi: 10.1016/s0010-4825(00)00007-x.

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.

MeSH terms

  • Antigens, CD / classification
  • Artificial Intelligence
  • Computer Graphics
  • Databases as Topic
  • Decision Support Systems, Clinical
  • Diagnosis, Computer-Assisted*
  • Diagnosis, Differential
  • Flow Cytometry*
  • Hematologic Neoplasms / diagnosis*
  • Humans
  • Immunophenotyping*
  • Internet
  • Leukemia / diagnosis
  • Lymphoma / diagnosis
  • Pattern Recognition, Automated
  • Programming Languages*
  • Software
  • User-Computer Interface

Substances

  • Antigens, CD