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Demographic and clinical data will be obtained from people with MS. Based on this data, the progression of the disease will be predicted with artificial intelligence.
Demographic and clinical data will be obtained from people with MS. Demographic data; age, gender, disease type, disease duration. Clinical data; Frailty, Physical Activity Level, Walking, Balance, Fatigue, Quality of Life. Based on these data, disease progression will be predicted with artificial intelligence and motor learning.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| intervention group |
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| Measure | Description | Time Frame |
|---|---|---|
| Fragility level | The level of frailty will be measured by the Frailty Index. | 3 month |
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Inclusion Criteria:
Exclusion Criteria:
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MS patients coming to Tatvan State Hospital
The results of the study will be announced
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| ID | Term |
|---|---|
| D009103 | Multiple Sclerosis |
| ID | Term |
|---|---|
| D020278 | Demyelinating Autoimmune Diseases, CNS |
| D020274 | Autoimmune Diseases of the Nervous System |
| D009422 | Nervous System Diseases |
| D003711 | Demyelinating Diseases |
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| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |