def preprocessing():
patients = []
with open('states_new.csv', 'rb') as csvfile:
reader = csv.reader(csvfile, delimiter=',', quotechar='|')
patient = Patient()
patient.id = 1
i = 0
chain = []
times = []
divider = 100
for row in reader:
#check whether patient the same one
if i == 0:
i += 1
continue
if int(row[0]) == patient.id:
chain.append(int(row[4]))
times.append(float(row[5]) / divider)
else:
#move to next patient
patient.O = np.array(chain)
patient.observation_times = np.array(times)
patient.T_obs = len(times)
patients.append(patient)
patient = Patient()
patient.id = int(row[0])
chain = [int(row[4])]
times = [float(row[5]) / divider]
i += 1
#setup final patient
patient.O = np.array(chain)
patient.observation_times = np.array(times)
patient.T_obs = len(times)
patients.append(patient)
patient = Patient()
patient.id = int(row[0])
return patients
