Acute leukemia diagnosis aid using multicriteria fuzzy assignment methodology.
We recently developed a new multicriteria classification method called PROAFTN to help medical diagnosis. The aim of this paper is to present the application of the proposed method for the diagnosis of acute leukemia (AL). The implementation of PROAFTN was carried out on cytological data of 108 cases of AL, using the classification rules of French, American and British hematologists, and was then applied on an independent test set of 83 cases of AL. Forty-seven features, obtained by examining patients' bone-marrow smears with light microscope, defined each case. In order to determine the percentage of correct classifications for each subtype of AL, we compared our results with the clinical diagnosis given previously by the hematologist. 96.4% of the cases were correctly classified by the program, suggesting that the method yields good results in terms of discrimination between AL subtypes.
Belacel
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N
Institute of Statistical and Operational Research and Service de Mathématiques de la Gestion, Université Libre de Bruxelles, Boulevard du Triomphe, C.P. 210/01, B-1050, Brussels, Belgium. nbelacel@smg.ulb.ac.be
Vincke
P
P
Scheiff
J M
JM
Boulassel
M R
MR
D000465:Algorithms; D003936:Diagnosis, Computer-Assisted; D017143:Fuzzy Logic; D006801:Humans; D007938:Leukemia / Q000145:classification / Q000175:diagnosis* / Q000473:pathology; D015470:Leukemia, Myeloid, Acute / Q000145:classification / Q000175:diagnosis / Q000473:pathology; D054198:Precursor Cell Lymphoblastic Leukemia-Lymphoma / Q000145:classification / Q000175:diagnosis / Q000473:pathology; D012984:Software