Development of Machine Learning-based Classification Models for the Severity of Motor Symptoms in People with Parkinson's Disease and Verification of the Effect of Customized Interventions

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0009353

Enrollment

150

Registered

2024-04-19

Start date

2022-07-07

Completion date

Unknown

Last updated

2024-04-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Behavioral : The exercise programs used in the study were adapted and modified from previous research. The exercise duration of the combined exercise-cognition program was 8 weeks to 24 weeks, the fre

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: The inclusion criteria for the study included age 50 years or older, Hoehn and Yahr (HY) stages 1-3, ability to move independently, Korean mini-mental state examination (K-MMSE) score of 24 or higher, and regularly taking anti-parkinsonian medication.

Exclusion criteria

Exclusion criteria: Exclusion criteria included patients with a history of cardiovascular, musculoskeletal, vestibular, or other neurological disorders and participation in an exercise program within the last 6 months.

Design outcomes

Primary

Measure	Time frame
Gait ability	—

Secondary

Measure	Time frame
Clinical characteristics;Physical characteristics	—

Countries

Korea, Republic of

Contacts

Public ContactBohyun Kim

Dong-A University

bohyn14@naver.com+82-51-200-7846

Outcome results