Framework for Intelligent CDSS to Diagnose Chronic Myeloid Leukemia

 
 
LAP Lambert Academic Publishing
  • erschienen am 28. Januar 2018
 
  • Buch
  • |
  • Softcover
  • |
  • 116 Seiten
978-613-3-99295-5 (ISBN)
 
This book presents the framework for diagnosis of chronic myeloid leukemia (CML). The framework comprises of layers such as knowledge identification, knowledge acquisition, knowledge synthesis, knowledge formalization and knowledge alignment. The framework prescribes how the diagnosis of CML is done and a flow chart which describes the diagnosis procedure is presented. Thus, this framework when fully implemented can diagnose CML accurately, and on the other hand can be adopted for other types of leukemia. It is worthy of note that CML as a blood disease is more prevalent in Nigeria than the other types of leukemia in adults from ages 40 and above.
  • Englisch
  • Höhe: 220 mm
  • |
  • Breite: 150 mm
  • |
  • Dicke: 7 mm
  • 189 gr
978-613-3-99295-5 (9786133992955)
6133992956 (6133992956)
Miss Taiwo, Oluwabunmi O. hails from Oyo State Nigeria. She completed her B.Sc. and M.Sc. degrees of Computer Science in BOWEN University and Babcock University respectively. Currently she is running her Ph.D. programme in Computer Science at Babcock University, Ilishan-Remo, Ogun State, Nigeria with Artificial Intelligence as the area of interest.

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