Acute leukemia diagnosis aid using multicriteria fuzzy assignment methodology
| Autor: | Philippe Vincke, Mohamed Rachid Boulassel, Jean-Marie Scheiff, Nabil Belacel |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
Acute leukemia
Leukemia business.industry Fuzzy set Health Informatics Precursor Cell Lymphoblastic Leukemia-Lymphoma Multicriteria classification Machine learning computer.software_genre Fuzzy logic Computer Science Applications Leukemia Myeloid Acute Fuzzy Logic Computer-aided diagnosis Clinical diagnosis Test set Humans Medicine Diagnosis Computer-Assisted Artificial intelligence Medical diagnosis business computer Algorithms Software |
| Zdroj: | Computer Methods and Programs in Biomedicine. 64:145-151 |
| ISSN: | 0169-2607 |
| DOI: | 10.1016/s0169-2607(00)00100-0 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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