Background: Increasing evidence has indicated that miRNA-disease association prediction plays a critical role in the study of clinical drugs. Researchers have proposed many computational models for miRNA-disease prediction. However, there is no unified platform to compare and analyze the pros and cons or share the code and data of these models.

Objective: In this study, we developed an easy-to-use platform (MDAPlatform) to construct and assess miRNA-disease association prediction method.

Methods: MDAPlatform integrates the relevant data of miRNA, disease and miRNA-disease associations that are used in previous miRNA-disease association prediction studies. Based on the componentized model, it develops different components of previous computational methods.

Results: Users can conduct cross validation experiments and compare their methods with other methods, and the visualized comparison results are also provided.

Conclusion: Based on the componentized model, MDAPlatform provides easy-to-operate interfaces to construct the miRNA-disease association method, which is beneficial to develop new miRNA-disease association prediction methods in the future.

背景：越来越多的证据表明miRNA-疾病关联预测在临床药物研究中起着至关重要的作用。研究人员提出了许多用于 miRNA 疾病预测的计算模型。但是，目前还没有统一的平台来对比分析这些模型的优缺点或共享这些模型的代码和数据。

目的：在本研究中，我们开发了一个易于使用的平台（MDAPlatform）来构建和评估 miRNA-疾病关联预测方法。

方法：MDAPlatform整合了以往miRNA-疾病关联预测研究中使用的miRNA、疾病和miRNA-疾病关联的相关数据。基于组件化模型，它开发了以前计算方法的不同组件。

结果：用户可以进行交叉验证实验并将他们的方法与其他方法进行比较，并提供可视化的比较结果。

结论：基于组件化模型，MDAPlatform提供了易于操作的接口来构建miRNA-疾病关联方法，有利于未来开发新的miRNA-疾病关联预测方法。