def hello():
message = request.get_json(force=True)
age = message['age']
gender = message['gender']
smoking = message['smoking']
HTN = message['HTN']
DPL = message['DPL']
DM = message['DM']
physical_exercise = message['physical_exercise']
family_history = message['family_history']
drug_history = message['drug_history']
psychological_stress = message['psychological_stress']
chest_pain = message['chest_pain']
dyspnea = message['dyspnea']
palpitation = message['palpitation']
ECG = message['ECG']
"""for key in message:
print(message[key])
asd = message.values
asd = np.array(asd)
for i in len(asd):
print(asd[i])"""
#print(type(asd))
#x = []
#for key in message.keys():
# x.append(message[key])
#print(x)
data = user_data_process(message)
print(data)
x = []
for key in data.keys():
x.append(data[key])
print(x)
#predicted_value = []
#predicted_value = NN(x)
predicted_value = NN2(x)
#predicted_value = NN1(x,model1)
respone = {
"gretting":
"hello, " + age + ". your gender is : " + gender +
". your smoking habit: " + smoking + ". HTN: " + HTN + ". DPL: " +
DPL + ". DM: " + DM + ". physical_exercise: " + physical_exercise,
"prediction":
str(predicted_value)
}
return jsonify(respone)
def predict():
#get jeson values
message = request.get_json(force=True)
age = message['age']
gender = message['gender']
smoking = message['smoking']
HTN = message['HTN']
DPL = message['DPL']
DM = message['DM']
physical_exercise = message['physical_exercise']
family_history = message['family_history']
drug_history = message['drug_history']
psychological_stress = message['psychological_stress']
chest_pain = message['chest_pain']
dyspnea = message['dyspnea']
palpitation = message['palpitation']
ECG = message['ECG']
#process data
data = user_data_process(message)
x = []
for key in data.keys():
x.append(data[key])
predicted_value, probability = NN2(x)
print(probability)
# Database insert new data
cur = mysql.connection.cursor()
cur.execute(
"INSERT INTO dataset(age,gender,smoking,HTN,DPL,DM,physical_exercise,family_history,drug_history,psychological_stress,chest_pain,dyspnea,palpitation,ECG,IHD,probability) VALUES(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)",
(age, gender, smoking, HTN, DPL, DM, physical_exercise, family_history,
drug_history, psychological_stress, chest_pain, dyspnea, palpitation,
ECG, predicted_value, probability))
mysql.connection.commit()
cur.close()
result = ''
if (predicted_value == 1):
result = 'According to the information our prediction result is YES'
else:
result = 'According to the information our prediction result is no'
respone = {
"gretting":
"hello, Lets take a look at the information that you provide. your age is: "
+ age + ". your gender is : " + gender + ". your smoking habit: " +
smoking + ". HTN: " + HTN + ". DPL: " + DPL + ". DM: " + DM +
". physical_exercise: " + physical_exercise +
". your family_history: " + family_history + ". drug_history: " +
drug_history + ". psychological_stress: " + psychological_stress +
". chest_pain: " + chest_pain + ". dyspnea: " + dyspnea +
". palpitation: " + palpitation + ". ECG Report: " + ECG + ". ",
"prediction":
result
}
return jsonify(respone)