WHO ICTRP trial
Development of Machine Learning-based Classification Models for the Severity of…
KCT0009353 · Clinical Research Information Service (CRIS) · Not Recruiting
Key facts
| Trial ID | KCT0009353 |
|---|---|
| Public title | 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 |
| Scientific title | 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 |
| Primary sponsor | Dong-A University |
| Registry | Clinical Research Information Service (CRIS) |
| Recruitment status | Not Recruiting |
| Study type | Interventional Study |
| Phase | Not applicable |
| Countries | Korea, Republic of |
| Conditions | Diseases of the nervous system |
| 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 frequency of exercise was twice a week, and… |
| Registration date | Apr 19, 2024 |
| Target size | 150 |
| Registry page | cris.nih.go.kr |
At a glance
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Source: World Health Organization (WHO), International Clinical Trials Registry Platform (ICTRP) · Source date: