Department of Informatics, Ionian University, Corfu, Greece.
Adv Exp Med Biol. 2021;1338:47-54. doi: 10.1007/978-3-030-78775-2_7.
A diagnostic tool is developed for balance disorders based on machine learning techniques. This tool is addressed at experts, in order to support the diagnosis of 5 categories of balance disorders and ultimately 11 specific disorders. Unlike previous works, for each case one general classification model and only one additional specialized classification model are used to provide the recommended diagnosis, while obtaining satisfactory results and overall performance. Certain features are also extracted and identified as determinant for the correct prediction of the diagnostic categories (general classifier) and the diagnoses of each diagnostic category (specialized classifiers).
开发了一种基于机器学习技术的平衡障碍诊断工具。该工具面向专家，旨在支持 5 类平衡障碍和最终 11 种特定障碍的诊断。与以往的工作不同，对于每种情况，仅使用一个通用分类模型和一个额外的专门分类模型来提供建议诊断，同时获得了令人满意的结果和整体性能。还提取和确定了某些特征，这些特征是正确预测一般分类器的诊断类别和专门分类器的每个诊断类别的诊断的决定因素。
