The Application of Machine Learning Algorithms to Immunophenotypic Data to Aid in the Diagnosis of MDS

Cullen, M, Richards, S, Bowen, D et al. (3 more authors) (2017) The Application of Machine Learning Algorithms to Immunophenotypic Data to Aid in the Diagnosis of MDS. In: Leukemia Research. The 14th International Symposium of Myelodysplastic Syndromes (MDS), 03-06 May 2017, Valencia, Spain. Vol. 55 (Supplement 1). Elsevier Ltd.. Article no: 153, S95-S95. ISSN: 0145-2126. EISSN: 1873-5835.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Dates:
  • Published (online): 3 May 2017
  • Published: April 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > Institute of Molecular Medicine (LIMM) (Leeds) > Section of Experimental Haematology (Leeds)
Date Deposited: 31 Jan 2019 13:40
Last Modified: 31 Jan 2019 13:40
Status: Published
Publisher: Elsevier Ltd.
Identification Number: 10.1016/S0145-2126(17)30266-7
Related URLs:
Open Archives Initiative ID (OAI ID):

Download not available

A full text copy of this item is not currently available from White Rose Research Online

Export

Statistics

View Altmetric information about this item.


CORE (COnnecting REpositories)