consts.py

from enum import Enum
import pandas as pd


class State(Enum):
    OK = 0,
    OVERLAPPED_WITH_DIFFERENT_MED = 2,
    OVERLAPPED_WITH_ANOTHER_NE_CHANGED_DOSE = 3,
    OVERLAPPED_WITH_ANOTHER_NE_STOPPED = 4,
    OVERLAPPED_WITH_ANOTHER_NE_PAUSED = 5,
    OVERLAPPED_WITH_ANOTHER_NE_FINISHED = 6,
    LESS_THAN_EPSILON_CHANGED_DOSE = 7,
    LESS_THAN_EPSILON_STOPPED = 8,
    LESS_THAN_EPSILON_PAUSED = 9,
    LESS_THAN_EPSILON_FINISHED = 10,
    SMALL_GAP_AND_SAME_RATE_STOPPED = 11,
    SMALL_GAP_AND_SAME_RATE_PAUSED = 12,
    FINISHED_RUNNING = 13


ICD_CODES = ["99592",  # Severe sepsis, icd_version =  9
             "R652",  # Severe sepsis, icd_version = 10
             "R6520",  # Severe sepsis without septic shock, icd_version = 10
             "R6521",  # Severe sepsis with septic shock, icd_version = 10
             "99591"  # Sepsis, icd_version =  9
             ]

EICU_SEPSIS_ICD_CODES = ["r65.2",
                         "r65.20",
                         "r65.21",
                         "995.92",
                         "995.91",
                         "a41.9"]

BP = [  # 225309, # ART BP Systolic
    # 225310, # ART BP Diastolic
    225312,  # ART BP Mean
    # 220050, # Arterial Blood Pressure systolic
    # 220051, # Arterial Blood Pressure diastolic
    220052,  # Arterial Blood Pressure mean
    # 220179, # Non Invasive Blood Pressure systolic
    # 220180, # Non Invasive Blood Pressure diastolic
    220181  # Non Invasive Blood Pressure mean
]
HR = [220045]  # Heart Rate
CHARTEVENTS_CODES = BP + HR
INPUTEVENTS_CODES = [
    221662,  # Dopamine
    221289,  # Epinephrine
    221749,  # Phenylephrine
    221906,  # Norepinephrine
    229617,  # Epinephrine.
    229630,  # Phenylephrine (50/250)
    229631,  # Phenylephrine (200/250)_OLD_1
    229632,  # Phenylephrine (200/250)
    229789,  # Phenylephrine (Intubation)
    222315,  # Vasopressin
]
LABEVENTS_CODES = [
    50813,  # Lactate
    52442  # Lactate
]
PROCEDURE_CODES = [
    225792,  # invasive mechanical ventilation
    225441  # renal replacement therapy / dialysis
]
MINIMAL_LOS_DAYS = 1  # minimal icu stay
MINIMAL_AGE = 20
MAXIMAL_AGE = 90

HOURS_BEFORE_DOSE = 1

BP_RANGES = ((0, 49), (50, 59), (60, 64), (65, 69), (70, 74), (75, 79), (80, 89), (90, 200))
BINS = pd.IntervalIndex.from_tuples([(0, 50), (50, 60), (60, 65), (65, 70), (70, 75), (75, 80), (80, 90), (90, 200)],
                                    closed="left")
# minimal gap between dose to previous dose in order to mark it as dose which is not a decision in Pause and Stopped
# statusdescription
MINIMAL_GAP_MINUTES = 2

PATH_TO_DATA = "../processed/"

# The maximal and minimal rates to consider while looking at doses "originalrate" field
MINIMAL_ORIGINALRATE = 0
MAXIMAL_ORIGINALRATE = 0.4

# Distribution to examine
DISTRIBUTIONS = ["pareto", "gamma", "beta", "lognorm", "genextreme", "dweibull"]

# SICU and MICU names
SICU = "Surgical Intensive Care Unit (SICU)"
MICU = "Medical Intensive Care Unit (MICU)"