Set default LOS based on historical resp failure

Data from Anesi, George L <George.Anesi@uphs.upenn.edu>

HUP, PMC, PAH, LGH, CCH
2013-2018 (*CCH 2017-2018 only)
Acute respiratory failure admissions from the ED

All acute respiratory failure
N=10,235
Hospital LOS (hours)
                     hospital_los_hours
-------------------------------------------------------------
      Percentiles      Smallest
 1%         9.55              0
 5%        21.45              0
10%        36.05              0       Obs              10,235
25%     63.33333       .2666667       Sum of Wgt.      10,235

50%     113.2667                      Mean           174.9854
                        Largest       Std. Dev.       285.939
75%       204.85       5009.783
90%        358.3       6214.167       Variance        81761.1
95%     505.8167       9516.217       Skewness       23.01387
99%     1028.217       15925.03       Kurtosis       1051.167

Acute respiratory failure requiring mechanical ventilation in the ED
N=2,029
Hospital LOS (hours)
                     hospital_los_hours
-------------------------------------------------------------
      Percentiles      Smallest
 1%     5.116667              0
 5%     21.48333              0
10%         37.8       .2666667       Obs               2,029
25%         72.5       .4166667       Sum of Wgt.       2,029

50%       139.35                      Mean           212.6392
                        Largest       Std. Dev.      248.1143
75%     259.4333       2327.667
90%        450.4        2528.55       Variance       61560.72
95%       626.95       2558.133       Skewness       3.943032
99%     1208.683       2689.217       Kurtosis       27.13584

Acute respiratory failure requiring ICU admission
N=4,040
Hospital LOS (hours)
                     hospital_los_hours
-------------------------------------------------------------
      Percentiles      Smallest
 1%          5.7              0
 5%     22.95833              0
10%       40.475       .2666667       Obs               4,040
25%     75.83334       .4166667       Sum of Wgt.       4,040

50%     139.2333                      Mean           214.9631
                        Largest       Std. Dev.      305.1634
75%      254.375       2961.917
90%     447.7583       5009.783       Variance       93124.72
95%     629.8417       6214.167       Skewness       11.72017
99%     1214.067       9516.217       Kurtosis       276.2198

Author: cjbayesian

app.py

@@ -42,9 +42,9 @@
     st.sidebar.number_input("Ventilated %", 0, 100, value=1, step=1, format="%i")
     / 100.0
 )
-hosp_los = st.sidebar.number_input("Hospital LOS", value=5, step=1, format="%i")
-icu_los = st.sidebar.number_input("ICU LOS", value=7, step=1, format="%i")
-vent_los = st.sidebar.number_input("Vent LOS", value=14, step=1, format="%i")
+hosp_los = st.sidebar.number_input("Hospital LOS", value=7, step=1, format="%i")
+icu_los = st.sidebar.number_input("ICU LOS", value=9, step=1, format="%i")
+vent_los = st.sidebar.number_input("Vent LOS", value=10, step=1, format="%i")
 Penn_market_share = (
     st.sidebar.number_input(
         "Hospital Market Share (%)", 0, 100, value=15, step=1, format="%i"