Multiple Myeloma Dataset (MM-dataset)

Published: 23 December 2019| Version 1 | DOI: 10.17632/7wpcv7kp6f.1
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Description

The Multiple Myeloma dataset (MM-dataset) is a new multi-class database with 59 features for 203 patient records categorized into 9 labels stage of MM cancer which are classified by specialists on Hematology. It is made public, in order to allow comparative experiments with other research works. The Multiple Myeloma (MM) is a type of blood cancer that affects the plasma cells in bone morrow. Its diagnosis is difficult in the early stage and depends on several medical exams and tests, thus its process is very long and can discourage patients. This may be the principal problem. In the litereture, all the proposed reasearches to the assistance with the medical diagnosis in multiple myeloma (MM) disease, are based on genetic databases. So, we proposed our new dataset which contains the results of different MM diagnosis exams, and which can be used to detect clinical and para-clinical factors for the diagnosis of MM.

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Institutions

Universite Abou Bekr Belkaid Tlemcen Faculte de Technologie, Universite Abou Bekr Belkaid Tlemcen Faculte de Medecine

Categories

Health Sciences, Data Mining, Multiple Myeloma, Machine Learning, Feature Selection, Data Analysis, Biological Database, Hematological Cancer Diagnostics, Prognostic Factor

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