The purpose of this study is to realize customized precision medicine for stroke patients and the visual digitization of patient medical information required in the era of digital transformation. This study will collect large-scale, high-quality clinical data and daily life exercise pattern data covering the subacute to chronic stages of stroke patients. Based on this, we will use artificial intelligence analysis technology to predict the functional status of stroke patients in the chronic stage after their disability is fixed. We aim to develop the next generation of personalized digital twins by creating a prognostic prediction model.
Study Type
OBSERVATIONAL
Enrollment
1,192
No intervention
Bundang CHA Medical Center
Gyeonggi-do, Gyeonggi-do, South Korea
Modified Barthel Index (MBI)
A scale to measure disability or dependence in activities of daily living (ADL) of stroke survivors (range 0-100)
Time frame: minimum 6 months to maximum 6 years
Mini Mental Status Examination (MMSE)
Mini-Mental State Examination (MMSE) is a 30-question assessment of cognitive function that evaluates attention and orientation, memory, registration, recall, calculation, language and ability to draw a complex polygon (range 0-30)
Time frame: minimum 6 months to maximum 6 years
Functional Ambulatory Category (FAC)
The Functional Ambulation Categories (FAC) is a 6-point functional walking test that evaluates ambulation ability, determining how much human support the patient requires when walking, regardless of whether or not they use a personal assistive device. (range 0-5)
Time frame: minimum 6 months to maximum 6 years
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