Table 2 Summary of related works

From: Machine learning for Parkinson’s disease: a comprehensive review of datasets, algorithms, and challenges

Review type

Article

Main topic

Publication year

Paper selection process

Taxonomy

Open issue

Covered year

Dataset investigation

Tools

Survey

20

DL techniques in PD feature extraction

2020

No

No

No

2013–October 2020

No

No

22

Review of DNN/ANN in PD detection

2022

Yes

No

Yes

2013–-2021

Yes

No

25

Voice analysis survey for PD diagnosis

2023

Yes

No

No

2017–June 2022

Yes

Yes

26

ML approaches overview in PD diagnosis

2023

Yes

No

Yes

2017– February 2023

No

No

27

DL, ML, and meta-heuristics approaches in PD detection

2024

No

Yes

Yes

2012–January 2023

Yes

No

29

ML/DL methods for PD identification

2024

Yes

No

Yes

2013–April 2023

No

No

31

ML’s role in PD detection

2022

Yes

Yes

Yes

1996–2022

No

Yes

32

ML approaches with imaging and clinical data for PD

2022

No

No

Yes

2006–2019

No

No

33

ML and digital tech evolution in PD detection

2022

No

No

No

1970–2020

No

No

SLR

21

ML approaches performance in PD diagnosis

2022

Yes

No

No

2011–November 2020

Yes

No

23

Wearable devices for PD monitoring

2023

Yes

No

Yes

2012–April 2022

Yes

No

24

ML for PD detection via motor symptoms

2023

Yes

No

Yes

2016–January 2023

Yes

No

28

PD diagnosis via voice and handwriting

2024

Yes

Yes

Yes

2000–March 2023

Yes

No

30

IoT monitors and ML for PD diagnosis

2022

Yes

No

Yes

2012–August 2021

No

No

This paper

Applied ML datasets for PD diagnosis

Yes

Yes

Yes

2021–April 2024

Yes

Yes