Added script to plot response surfaces #11
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elvijs
approved these changes
Apr 10, 2024
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| # Compute 95% confidence intervals | ||
| ci = df.groupby([x_col, y_col])[z_col].agg(["mean", "std"]).reset_index() | ||
| ci["ci_low"] = ci["mean"] - 1.96 * ci["std"] |
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Nit: might make sense to expose the confidence interval level as an argument. We might want to use different values in different cases.
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| patient_to_hr_changes = defaultdict(list) | ||
| patient_to_bp_changes = defaultdict(list) | ||
| patient_to_respiratory_rate_changes = defaultdict(list) |
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I wonder if we should start a discussion with Justin and Man on how we store features back into the dataset. It feels expensive to recompute every time anyone wants to visualise them.
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Yes, definitively something we should bring up! I'd say let's formalize the features on the first patient drop first though.
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This PR adds a standalone script to compute physio response surfaces to stimulations for every patients.