Multiple Myeloma Dataset (MM-dataset)

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.

多发性骨髓瘤（Multiple Myeloma，MM）数据集（MM-dataset）是一款全新的多分类数据库，包含203条患者记录的59项特征，所有记录被划分为9个多发性骨髓瘤癌症分期标签，标注工作由血液学（Hematology）专科医师完成。该数据集已对外公开，以供相关研究开展对比实验。

多发性骨髓瘤（Multiple Myeloma，MM）是一类侵袭骨髓中浆细胞的血液恶性肿瘤。该病早期诊断难度极大，需依托多项医学检查与检验项目，因此诊断流程冗长，易对患者造成心理负担，这也是当前该疾病诊疗面临的核心问题。

现有文献中，所有用于辅助多发性骨髓瘤临床诊断的相关研究均基于基因数据库开展。为此，本研究构建了这一全新数据集，其收录了多项多发性骨髓瘤诊断检查的检测结果，可用于挖掘辅助该病诊断的临床及辅助临床因素。