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Datasets:
mstz
/
post_operative

Tasks:
Tabular Classification
Languages:
English
Size:
1K<n<10K
Tags:
post_operative
tabular_classification
binary_classification
multiclass_classification
UCI
License:
Dataset card Files Community
mstz commited on
Commit
09ee3cb
·
1 Parent(s): 6cda90f

Upload post_operative.py

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Files changed (1) hide show
  1. post_operative.py +7 -6
post_operative.py CHANGED
@@ -39,8 +39,9 @@ _ENCODING_DICS = {
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  "unstable": False,
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  },
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  "is_blood_pressure_stable": {
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- "stable": True,
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- "unstable": False,
 
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  }
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  }
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@@ -66,8 +67,8 @@ features_types_per_config = {
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  "surface_temperature": datasets.Value("int8"),
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  "oxigen_saturation": datasets.Value("int8"),
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  "blood_pressure": datasets.Value("int8"),
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- "is_surface_temperature_stable": datasets.Value("int8"),
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- "is_internal_temperature_stable": datasets.Value("int8"),
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  "is_blood_pressure_stable": datasets.Value("int8"),
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  "perceived_comfort": datasets.Value("int8"),
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  "decision": datasets.ClassLabel(num_classes=3, names=("discharge", "hospital floor", "intensive care")),
@@ -77,8 +78,8 @@ features_types_per_config = {
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  "surface_temperature": datasets.Value("int8"),
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  "oxigen_saturation": datasets.Value("int8"),
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  "blood_pressure": datasets.Value("int8"),
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- "is_surface_temperature_stable": datasets.Value("int8"),
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- "is_internal_temperature_stable": datasets.Value("int8"),
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  "is_blood_pressure_stable": datasets.Value("int8"),
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  "perceived_comfort": datasets.Value("int8"),
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  "decision": datasets.ClassLabel(num_classes=2, names=("discharge", "don't discharge")),
 
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  "unstable": False,
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  },
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  "is_blood_pressure_stable": {
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+ "stable": 2,
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+ "mod-stable": 2,
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+ "unstable": 0,
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  }
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  }
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  "surface_temperature": datasets.Value("int8"),
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  "oxigen_saturation": datasets.Value("int8"),
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  "blood_pressure": datasets.Value("int8"),
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+ "is_surface_temperature_stable": datasets.Value("bool"),
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+ "is_internal_temperature_stable": datasets.Value("bool"),
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  "is_blood_pressure_stable": datasets.Value("int8"),
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  "perceived_comfort": datasets.Value("int8"),
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  "decision": datasets.ClassLabel(num_classes=3, names=("discharge", "hospital floor", "intensive care")),
 
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  "surface_temperature": datasets.Value("int8"),
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  "oxigen_saturation": datasets.Value("int8"),
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  "blood_pressure": datasets.Value("int8"),
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+ "is_surface_temperature_stable": datasets.Value("bool"),
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+ "is_internal_temperature_stable": datasets.Value("bool"),
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  "is_blood_pressure_stable": datasets.Value("int8"),
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  "perceived_comfort": datasets.Value("int8"),
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  "decision": datasets.ClassLabel(num_classes=2, names=("discharge", "don't discharge")),