Imputing patient demographics using wound trajectory using ML and switching different interpolation methods to fill missing visit informations of patients' wounds.
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The ERD notebook code facilitates the generation of a SQL file, which can be executed within any Database visualizer tool, enabling the visualization of the Entity-Relationship Diagram (ERD).
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The interpolation notebooks provide the Python codes to merge the required datatables, apply ML method to impute patient demographics, preprocess the data and apply the interpolation techniques on the wound assessment data.
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The forecasting notebooks provide the Python codes to train and forecast wound area measurement values from the interpolated values.