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- W1539428229 abstract "The present study developed a model that can predict the outcomes of a gait rehabilitation method seen from a societal perspective. The model consisted of a Markov model for the long-term functional dependency of the stroke patients and a decision tree model for the consequences of a stroke. In this study, it was applied for predicting the outcome of introducing reflex-based electrical gait therapy. The model was validated using data for 1 month, 3 months, 1 year, 5 years and 10 years fatality of stroke patients, as well as data for the functional independence of stroke patients. The model predicted that after the first stroke with reflex-based electrical gait therapy, 51.7% of the patients treated will be depending on care and 72.5% will live in their home, as compared with 60.1% and 63.0% for the control group, respectively. After five years, 26.8% of the patients will be depending on care and 34.8% will live in their home following reflex-based gait therapy, as compared with 30.6% and 29.4% for the control group, respectively. Consequently, the study supports the assumption that better gait rehabilitation lead to more functionally independent patients, and hence may lead to lower costs for the society." @default.
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- W1539428229 date "2014-01-01" @default.
- W1539428229 modified "2023-09-26" @default.
- W1539428229 title "Modeling the Functional Dependence of Stroke Patients: The Outcome of an Improved Gait Training" @default.
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- W1539428229 doi "https://doi.org/10.1007/978-3-319-08072-7_64" @default.
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