Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …

Several studies investigated the diagnosis of Parkinson's disease (PD), which utilized
machine learning methods such as support vector machine, neural network, Naïve Bayes …

Speech has been widely used in the diagnosis of Parkinson's disease (PD). However, the
collected PD speech data has the characteristics of high data redundancy, high aliasing and …

There is a broad consensus that stroke rehabilitation interventions within the first 3–6
months after stroke can result in maximizing post-stroke recovery. However, in middle-and …

针对帕金森病语音检测问题， 本文提出了一种基于时频混合域局部统计的帕金森病语音障碍
分析方法。 该方法首先将语音信号从时域转化为时频混合域， 即进行时频化表示 …

As a neurodegenerative disease, Parkinson's disease (PD) is hard to identify at the early
stage, while using speech data to build a machine learning diagnosis model has proved …

Parkinson's disease (PD) is a progressive and long-term neurodegenerative disorder of the
central nervous system. It has been studied that 90% of the PD subjects have voice …

Nowadays, poverty-stricken college students have become a special group among college
students and occupied a higher proportion in it. How to accurately identify poverty levels of …

BACKGROUND: Parkinson's disease (PD) is a long-term neurodegenerative disease of the
central nervous system. The current diagnosis is dependent on clinical observation and the …

Breast cancer is considered the most frequently diagnosed cancer in worldwide women and
ranked second after lung cancer. Early diagnosis of this cancer may increase the chance to …