def disease_predict():
selected_symptoms = []
if (request.form['Symptom1'] != "") and (request.form['Symptom1']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom1'])
if (request.form['Symptom2'] != "") and (request.form['Symptom2']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom2'])
if (request.form['Symptom3'] != "") and (request.form['Symptom3']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom3'])
if (request.form['Symptom4'] != "") and (request.form['Symptom4']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom4'])
if (request.form['Symptom5'] != "") and (request.form['Symptom5']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom5'])
# disease_list = []
# for i in range(7):
# disease = diseaseprediction.dosomething(selected_symptoms)
# disease_list.append(disease)
# return render_template('disease_predict.html',disease_list=disease_list)
disease = diseaseprediction.dosomething(selected_symptoms)
return render_template('disease_predict.html',
disease=disease,
symptoms=symptoms)
def disease_predict():
docs = db.collection('profileInfo').get()
for doc in docs:
dt=doc.to_dict()
selected_symptoms = dt['Symptoms']
if selected_symptoms==[]:
print("Hrishi")
uid= dt['Uid']
data = {'HealthStatus': str("Fit")}
db.collection('profileInfo').document(uid).set(data, merge=True)
continue
uid= dt['Uid']
disease = diseaseprediction.dosomething(selected_symptoms)
data = {'HealthStatus': str(disease[0])}
db.collection('profileInfo').document(uid).set(data, merge=True)
if dt['Mailed']==0:
email = dt['EmailId']
subject = "Healthy Us - Your Health Status"
msg = "Hey there, as per our disease prediction algorithm there are chances you might have "+disease[0]+". Please consult a doctor for further medical analysis."
message = Message(subject,sender="*****@*****.**",recipients=[email])
message.body = msg
mail.send(message)
mailed_value = {'Mailed': 1}
db.collection('profileInfo').document(uid).set(mailed_value, merge=True)
return render_template('disease_predict.html')
def home(req):
predict = 'false'
if len(chatrec) == 0:
ques1 = {
'type': 'ques',
'sym': 'false',
'msg': 'Hey, I am your helper what is your name'
}
chatrec.append(ques1)
if len(sym) == 5:
name = chatrec[1]
disease = diseaseprediction.dosomething(sym)
ques2 = {
'type': 'ques',
'sym': 'false',
'predict': 'true',
'msg': name['msg'] + ' You may have ' + str(disease[0])
}
predict = 'true'
chatrec.append(ques2)
elif (len(chatrec) >= 2):
ques2 = {
'type': 'ques',
'sym': 'true',
'msg': 'Symptoms ' + str(len(sym) + 1)
}
chatrec.append(ques2)
return render(req, 'index.html', {
'chat': chatrec,
'symptoms': symptoms,
'predict': predict
})
def disease_predict():
selected_symptoms = []
if (request.form['Symptom1'] != "") and (request.form['Symptom1']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom1'])
if (request.form['Symptom2'] != "") and (request.form['Symptom2']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom2'])
if (request.form['Symptom3'] != "") and (request.form['Symptom3']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom3'])
if (request.form['Symptom4'] != "") and (request.form['Symptom4']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom4'])
if (request.form['Symptom5'] != "") and (request.form['Symptom5']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom5'])
if (request.form['Symptom6'] != "") and (request.form['Symptom6']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom6'])
if (request.form['Symptom7'] != "") and (request.form['Symptom7']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom7'])
# disease_list = []
# for i in range(7):
# disease = diseaseprediction.dosomething(selected_symptoms)
# disease_list.append(disease)
# return render_template('disease_predict.html',disease_list=disease_list)
disease = diseaseprediction.dosomething(selected_symptoms)
if (request.method == 'POST'):
gender = request.form.get('gender')
age = request.form.get('age')
symptom1 = request.form.get('Symptom1')
symptom2 = request.form.get('Symptom2')
symptom3 = request.form.get('Symptom3')
symptom4 = request.form.get('Symptom4')
symptom5 = request.form.get('Symptom5')
symptom6 = request.form.get('Symptom6')
symptom7 = request.form.get('Symptom7')
'''
sno,Gender,Age,Symptom1...7,Disease
'''
entry = patient(Gender=gender,
Age=age,
Symptom1=symptom1,
Symptom2=symptom2,
Symptom3=symptom3,
Symptom4=symptom4,
Symptom5=symptom5,
Symptom6=symptom6,
Symptom7=symptom7,
Disease=disease[0])
db.session.add(entry)
db.session.commit()
return render_template('disease_predict.html',
disease=disease,
symptoms=symptoms)
def fly():
selected_symptoms = []
selected_users = request.form.getlist("users")
disease = diseaseprediction.dosomething(selected_users)
radius = session.get('radius')
#a=session.get('zip')
g = geocoder.ip('me')
a = g.latlng
geolocator = Nominatim(user_agent="specify_your_app_name_here")
location = geolocator.geocode(a)
sql1 = text('select lat from User')
result1 = db.engine.execute(sql1)
lats = [row[0] for row in result1]
sql2 = text('select lng from User')
result2 = db.engine.execute(sql2)
lngs = [ro[0] for ro in result2]
merged_list = [(lats[i], lngs[i]) for i in range(0, len(lats))]
li = []
for j in merged_list:
b = (distance.distance(a, j).km)
li.append(b)
res = dict(zip(lats, li))
sorted_x = sorted(res.items(), key=lambda kv: kv[1])
re = [lis[0] for lis in sorted_x]
ra = [lis[1] for lis in sorted_x]
t = tuple(re)
v = tuple(ra)
for su in range(len(re)):
query1 = "UPDATE User SET dist = '{}' WHERE lat = {}".format(
v[su] + 10, t[su])
#query = "select * from User where lat IN {}".format(t)
sql4 = text(query1)
result = db.engine.execute(sql4)
sql5 = "select * from User order by ratings desc, dist asc"
result5 = db.engine.execute(sql5)
#app.logger.debug('A value for debugging')
#users = User.query.all().filter_by(result1)
#for i in re:
# query="select * from User where lat={};".format(i)
# sql3=text(query)
#result=db.engine.execute(sql3)
#return f'{result.lat}'
#worms=[x for x in result]
return render_template('home.html',
result5=result5,
sorted_x=sorted_x,
selected_users=selected_users,
disease=disease)
def disease_predict():
selected_symptoms = []
if (request.form['Symptom1'] != "") and (request.form['Symptom1']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom1'])
if (request.form['Symptom2'] != "") and (request.form['Symptom2']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom2'])
if (request.form['Symptom3'] != "") and (request.form['Symptom3']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom3'])
if (request.form['Symptom4'] != "") and (request.form['Symptom4']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom4'])
if (request.form['Symptom5'] != "") and (request.form['Symptom5']
not in selected_symptoms):
selected_symptoms.append(request.form['Symptom5'])
disease = diseaseprediction.dosomething(selected_symptoms)
with open('Book1.csv', mode='r') as infile:
reader = csv.reader(infile)
with open('Book1_new.csv', mode='w') as outfile:
writer = csv.writer(outfile)
mydict = {rows[0]: rows[1] for rows in reader}
med = mydict[disease[0]]
with open('Book2.csv', mode='r') as infile1:
reader = csv.reader(infile1)
with open('Book2_new.csv', mode='w') as outfile1:
writer = csv.writer(outfile1)
mydict1 = {rows[0]: rows[1] for rows in reader}
home = mydict1[disease[0]]
cur = mysql.connection.cursor()
cur.execute("SELECT * from details")
data1 = cur.fetchall()
return render_template('disease_predict.html',
disease=disease,
symptoms=symptoms,
med=med,
home=home,
data1=data1)
def makeWebhookResult(req):
if req.get("queryResult").get("action") == "symptom":
result = req.get("queryResult")
parameters = result.get("parameters")
symptom = parameters.get("symptom")
disease = diseaseprediction.dosomething(symptom)
print(disease)
#speech = "you may have " + disease + ". Please, consult your doctor."
#print(speech)
if not disease:
speech = "For further details Please click on the below link"
disease = symptom[0]
else:
speech = "you may have " + disease + ". Please, consult your doctor."
return {
"fulfillmentText":
speech,
"fulfillmentMessages": [{
"platform": "ACTIONS_ON_GOOGLE",
"simpleResponses": {
"simpleResponses": [{
"textToSpeech": speech
}]
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"linkOutSuggestion": {
"destinationName":
"Details of disease",
"uri":
"https://www.webmd.com/search/search_results/default.aspx?query="
+ disease
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [{
"title": "Predict disease"
}, {
"title": "Details about disease"
}, {
"title": "Know nearby hospitals"
}, {
"title": "Thank you"
}]
}
}]
}
if req.get("queryResult").get(
"action") == "Detailsaboutsymptoms.Detailsaboutsymptoms-custom":
result = req.get("queryResult")
parameters = result.get("parameters")
symptom = parameters.get("disease")
speech = "For further details Please click on the below link"
disease = symptom
return {
"fulfillmentText":
speech,
"fulfillmentMessages": [{
"platform": "ACTIONS_ON_GOOGLE",
"simpleResponses": {
"simpleResponses": [{
"textToSpeech": speech
}]
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"linkOutSuggestion": {
"destinationName":
"Details of disease",
"uri":
"https://www.webmd.com/search/search_results/default.aspx?query="
+ disease
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [{
"title": "Predict disease"
}, {
"title": "Details about disease"
}, {
"title": "Know nearby hospitals"
}, {
"title": "Thank you"
}]
}
}]
}
if req.get("queryResult").get("action") == "google":
result = req.get("queryResult")
parameters = result.get("parameters")
location = parameters.get("geo-city")
hospital_name = []
hospital_address = []
speech = ""
geocoderApi = herepy.GeocoderApi(
'NYzvNeZQL5quJfEWEUccVGR-nXIIVt3PeFj1X11dWkw')
placesApi = herepy.PlacesApi(
'NYzvNeZQL5quJfEWEUccVGR-nXIIVt3PeFj1X11dWkw')
response = geocoderApi.free_form(location)
dict = response.as_dict()
print(dict)
position = dict['items'][0]['position']
latitude = position['lat']
longitude = position['lng']
response = placesApi.category_places_at(
[latitude, longitude],
[herepy.PlacesCategory.hospital_health_care_facility])
dict = response.as_dict()
for i in range(0, 10):
#print(places_result["results"])
hospitalname = dict["results"]["items"][i]["title"]
hospital_name.append(hospitalname)
hospitaladdress = dict["results"]["items"][i]["vicinity"]
hospital_address.append(hospitaladdress)
for i in range(0, len(hospital_name)):
speech += "<br/><br/>Hospital name: " + hospital_name[
i] + "<br/>Hospital Address: " + hospital_address[i]
return {
"fulfillmentText":
speech,
"fulfillmentMessages": [{
"platform": "ACTIONS_ON_GOOGLE",
"simpleResponses": {
"simpleResponses": [{
"textToSpeech": speech
}]
}
}, {
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [{
"title": "Predict disease"
}, {
"title": "Details about disease"
}, {
"title": "Know nearby hospitals"
}, {
"title": "Thank you"
}]
}
}]
}
def home(req):
predict = 'false'
global response
if len(chatrec) == 0:
ques1 = {
'type': 'ques',
'sym': 'false',
'predict': 'false',
'msg': 'Hey, I am your helper Doctor! Ans the following Questions'
}
chatrec.append(ques1)
if len(response) == 13:
name = chatrec[1]
#print(response)
disease = diseaseprediction.dosomething(response)
res = ""
if disease[0] == 0:
res = " Absence of heart disease in the patient "
else:
res = " Presence of heart disease in the patient "
ques14 = {
'type': 'ques',
'sym': 'false',
'predict': 'true',
'msg': res
}
predict = 'true'
chatrec.append(ques14)
elif (len(chatrec) == 1):
ques1 = {
'type': 'ques',
'sym': 'true',
'predict': 'false',
'msg': 'Q' + str(len(sym) + 1) + '. What is your Age: '
}
chatrec.append(ques1)
elif (len(chatrec) == 3):
ques2 = {
'type': 'ques',
'sym': 'true',
'predict': 'false',
'msg': 'Q' + str(len(sym) + 1) + '. What is your Gender: '
}
chatrec.append(ques2)
elif (len(chatrec) == 5):
ques3 = {
'type': 'ques',
'sym': 'true',
'predict': 'false',
'msg':
'Q' + str(len(sym) + 1) + '. Chest pain type ( in range 0-3 ): '
}
chatrec.append(ques3)
elif (len(chatrec) == 7):
ques4 = {
'type': 'ques',
'sym': 'true',
'predict': 'false',
'msg': 'Q' + str(len(sym) + 1) + '. Your resting blood pressure : '
}
chatrec.append(ques4)
elif (len(chatrec) == 9):
ques5 = {
'type': 'ques',
'sym': 'true',
'predict': 'false',
'msg': 'Q' + str(len(sym) + 1) + '. Serum cholestoral in mg/dl: '
}
chatrec.append(ques5)
elif (len(chatrec) == 11):
ques6 = {
'type':
'ques',
'sym':
'true',
'predict':
'false',
'msg':
'Q' + str(len(sym) + 1) + '. fasting blood sugar > 120 mg/dl : '
}
chatrec.append(ques6)
elif (len(chatrec) == 13):
ques7 = {
'type':
'ques',
'sym':
'true',
'predict':
'false',
'msg':
'Q' + str(len(sym) + 1) +
'. resting electrocardiographic results (values 0,1,2): '
}
chatrec.append(ques7)
elif (len(chatrec) == 15):
ques8 = {
'type': 'ques',
'sym': 'true',
'predict': 'false',
'msg': 'Q' + str(len(sym) + 1) + '. Maximum heart rate achieved : '
}
chatrec.append(ques8)
elif (len(chatrec) == 17):
ques9 = {
'type': 'ques',
'sym': 'true',
'predict': 'false',
'msg': 'Q' + str(len(sym) + 1) + '. exercise induced angina : '
}
chatrec.append(ques9)
elif (len(chatrec) == 19):
ques10 = {
'type':
'ques',
'sym':
'true',
'predict':
'false',
'msg':
'Q' + str(len(sym) + 1) +
' oldpeak = ST depression induced by exercise relative to rest '
}
chatrec.append(ques10)
elif (len(chatrec) == 21):
ques11 = {
'type':
'ques',
'sym':
'true',
'predict':
'false',
'msg':
'Q' + str(len(sym) + 1) +
'. the slope of the peak exercise ST segment: '
}
chatrec.append(ques11)
elif (len(chatrec) == 23):
ques12 = {
'type':
'ques',
'sym':
'true',
'predict':
'false',
'msg':
'Q' + str(len(sym) + 1) +
'. number of major vessels (0-3) colored by flourosopy '
}
chatrec.append(ques12)
elif (len(chatrec) == 25):
ques13 = {
'type':
'ques',
'sym':
'true',
'predict':
'false',
'msg':
'Q' + str(len(sym) + 1) +
'. thal: 3 = normal; 6 = fixed defect; 7 = reversable defect '
}
chatrec.append(ques13)
return render(req, 'index.html', {
'chat': chatrec,
'symptoms': symptoms,
'predict': predict
})