Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine learning for the diagnosis of Parkinson's disease: A systematic
  review   Diagnosis of Parkinson's disease (PD) is commonly based on medical
observations and assessment of clinical signs, including the characterization
of a variety of motor symptoms. However, traditional diagnostic approaches may
suffer from subjectivity as they rely on the evaluation of movements that are
sometimes subtle to human eyes and therefore difficult to classify, leading to
possible misclassification. In the meantime, early non-motor symptoms of PD may
be mild and can be caused by many other conditions. Therefore, these symptoms
are often overlooked, making diagnosis of PD at an early stage challenging. To
address these difficulties and to refine the diagnosis and assessment
procedures of PD, machine learning methods have been implemented for the
classification of PD and healthy controls or patients with similar clinical
presentations (e.g., movement disorders or other Parkinsonian syndromes). To
provide a comprehensive overview of data modalities and machine learning
methods that have been used in the diagnosis and differential diagnosis of PD,
in this study, we conducted a systematic literature review of studies published
until February 14, 2020, using the PubMed and IEEE Xplore databases. A total of
209 studies were included, extracted for relevant information and presented in
this systematic review, with an investigation of their aims, sources of data,
types of data, machine learning methods and associated outcomes. These studies
demonstrate a high potential for adaptation of machine learning methods and
novel biomarkers in clinical decision making, leading to increasingly
systematic, informed diagnosis of PD.

21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph