论文标题
多模式归纳转移学习以检测阿尔茨海默氏症的痴呆症及其严重性
Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity
论文作者
论文摘要
据估计，阿尔茨海默氏病在全球范围内影响约5000万人，并且正在迅速上升，全球经济负担近一万亿美元。这需要可扩展，具有成本效益和可靠的方法来检测阿尔茨海默氏症的痴呆症（AD）。我们提出了一种利用声学，认知和语言特征来形成多模式合奏系统的新型结构。它使用具有时间特征的专门人工神经网络来检测AD及其严重程度，这是通过小型日期化国家考试（MMSE）分数反映的。我们首先在Adress Challenge数据集上对其进行评估，该数据集是一个与受试者无关且平衡的数据集匹配的年龄和性别，以减轻偏见，并且可以通过Dementiabark获得。我们的系统可实现最新的测试准确性，精度，召回和F1得分为83.3％，分别为AD分类，而最先进的测试根平方误差（RMSE）为4.60，用于MMSE得分回归。据我们所知，该系统在完整的基准Dementiabank Pitt数据库中评估时，该系统进一步实现了88.0％的最新AD分类精度。我们的工作强调了自发语音的适用性和可传递性，以产生强大的感应传递学习模型，并通过任务不合时宜的功能空间证明了通用性。源代码可从https://github.com/wazeerzulfikar/alzheimers-dementia获得
Alzheimer's disease is estimated to affect around 50 million people worldwide and is rising rapidly, with a global economic burden of nearly a trillion dollars. This calls for scalable, cost-effective, and robust methods for detection of Alzheimer's dementia (AD). We present a novel architecture that leverages acoustic, cognitive, and linguistic features to form a multimodal ensemble system. It uses specialized artificial neural networks with temporal characteristics to detect AD and its severity, which is reflected through Mini-Mental State Exam (MMSE) scores. We first evaluate it on the ADReSS challenge dataset, which is a subject-independent and balanced dataset matched for age and gender to mitigate biases, and is available through DementiaBank. Our system achieves state-of-the-art test accuracy, precision, recall, and F1-score of 83.3% each for AD classification, and state-of-the-art test root mean squared error (RMSE) of 4.60 for MMSE score regression. To the best of our knowledge, the system further achieves state-of-the-art AD classification accuracy of 88.0% when evaluated on the full benchmark DementiaBank Pitt database. Our work highlights the applicability and transferability of spontaneous speech to produce a robust inductive transfer learning model, and demonstrates generalizability through a task-agnostic feature-space. The source code is available at https://github.com/wazeerzulfikar/alzheimers-dementia
