preprocessing.py 文件源码

def clean_height(df):
    v = df.VALUE.astype(float)
    idx = df.VALUEUOM.fillna('').apply(lambda s: 'in' in s.lower()) | df.MIMIC_LABEL.apply(lambda s: 'in' in s.lower())
    v.ix[idx] = np.round(v[idx] * 2.54)
    return v

# ETCO2: haven't found yet
# Urine output: ambiguous units (raw ccs, ccs/kg/hr, 24-hr, etc.)
# Tidal volume: tried to substitute for ETCO2 but units are ambiguous
# Glascow coma scale eye opening
# Glascow coma scale motor response
# Glascow coma scale total
# Glascow coma scale verbal response
# Heart Rate
# Respiratory rate
# Mean blood pressure