def get_patient_value(ID, var):
test_patient = patient(ID)
observation = test_patient.convert_to_time_value()
if len(observation[var]) == 0:
return 0
average_list = []
for n in range(0, len(observation[var])):
value = float(observation[var][n][1])
if value < 0:
continue
else:
average_list.append(value)
if len(average_list) == 0:
return 0
average = sum(average_list) / float(len(average_list))
return average
survival_list.append(n)
random_list =[]
random_list.append(random.sample(dead_list,1)[0])
for j in range(0,7):
random_list.append(random.sample(survival_list,7)[j])
# Plot the line graph showing time and temperature of 7 random survival patients and 1 dead one
output_file("color_scatter.html", title="patient_Temp_time.py example")
p = figure(width=800, height=250, x_axis_type="datetime", title="Temperature and Timeseries")
p.xaxis.axis_label = "Time"
p.yaxis.axis_label = "Temp"
for i in random_list:
test_patient = patient(RecordIDs[i])
observation = test_patient.convert_to_time_value()
data=[]
# Dead in hospital is marked by red line
# Survival is marked by navy line
if(outcomes[i].rstrip().split(',')[5]=='1'):
linecolor = 'red'
linelegend = 'dead'
else:
linecolor = 'navy'
linelegend = 'survival'
for n in range(0,len(observation['Temp'])):
observe_time = timeconvert(observation['Temp'][n][0])
observe_temp = float(observation['Temp'][n][1])
