def test_input(self) -> None:
""" test for diabetes"""
my_dict = {
"B": float(self.l1.text()),
"C": float(self.l2.text()),
"D": float(self.l3.text()),
"E": float(self.l4.text()),
"F": float(self.l5.text()),
"G": float(self.l6.text()),
"H": float(self.l7.text()),
"I": float(self.l8.text())
}
output = diabetes.check_input(my_dict)
#print(self.output)
#self.setFixedSize(850, 342)
self.report_subhead.setText("Reports")
self.model_details.setText(
"Model này dùng thuật toán Random Forest.\nĐộ chính xác khoảng 80%.\nBộ dữ liệu đuợc sử dụng là bộ dữ liệu PIMA tổng hợp ở Ấn Độ."
)
self.details.setText(
"Patient's name: {}\nPregnancies: {}\nGlucose: {}\nBloodPressure: {}\nSkinThickness: {}\nInsulin: {}\nBMI: {}\nDiabetesPedigreeFunction: {}\nAge: {}"
.format(self.l0.text(), self.l1.text(), self.l2.text(),
self.l3.text(), self.l4.text(), self.l5.text(),
self.l6.text(), self.l7.text(), self.l8.text()))
#
if output == 0:
self.results.setText(
"Chẩn đoán cho thấy bệnh nhân không bị tiểu đường.")
else:
self.results.setText(
"Chẩn đoán của chúng tôi cho thấy bệnh nhân mắc bệnh tiểu đường. \n Xin vui lòng kiểm tra sớm"
)
self.results.setFont(QFont("Arial", 14, weight=QFont.Bold))
def test_input(self) -> None:
""" test for diabetes"""
my_dict = {
"A": float(self.l1.text()),
"B": float(self.l2.text()),
"C": float(self.l3.text()),
"D": float(self.l4.text()),
"E": float(self.l5.text()),
"F": float(self.l6.text()),
"G": float(self.l7.text()),
"H": float(self.l8.text())
}
output = diabetes.check_input(my_dict)
print(output)
#self.setFixedSize(850, 342)
self.report_subhead.setText("Reports")
self.model_details.setText("For More Go to AI Doctor ")
self.details.setText("Patient's name: {}\nBody Glucose: {} \
\nBlood pressure: {}\nMean Perimeter: {}\ninsulin taken: {}\nH*w ratio: {}\nDiabetes pedigree: {}\nyour curret age: {}\nskin fold: {}"
.format(self.l0.text(), self.l1.text(),
self.l2.text(), self.l3.text(),
self.l4.text(), self.l5.text(),
self.l6.text(), self.l7.text(),
self.l8.text()))
#
if output == 0:
self.results.setText(
"Our suggests that patient DOES NOT SUFFER FROM Diabetes.")
else:
self.results.setText(
"Our suggests patient DOES SUFFER FROM Diabetes\nPlease get checked soon."
)
self.results.setFont(QFont("Arial", 14, weight=QFont.Bold))
def test_input(self) -> None:
""" test for diabetes"""
my_dict = {
"B": float(self.l1.text()),
"C": float(self.l2.text()),
"D": float(self.l3.text()),
"E": float(self.l4.text()),
"F": float(self.l5.text())
}
output = diabetes.check_input(my_dict)
#print(self.output)
#self.setFixedSize(850, 342)
self.report_subhead.setText("Reports")
self.model_details.setText(
"This model uses Support Vector Machine classifier.\nAccuracy of model: 80%\nWe have used PIMA Indians diabetes dataset from UCI archive."
)
self.details.setText(
"Patient's name: {}\nPlasma glucose concentration: {} \
\nDiastolic blood pressure: {}\nTriceps skin fold thickness: {}\nSerum insulin: {}\nBody mass index: {}"
.format(self.l0.text(), self.l1.text(), self.l2.text(),
self.l3.text(), self.l4.text(), self.l5.text()))
#
if output == 0:
self.results.setText(
"Diagnosis suggests that patient does not suffers from diabetes."
)
else:
self.results.setText(
"Our diagnosis suggests patient does suffer from diabetes.\nPlease get checked soon."
)
self.results.setFont(QFont("Arial", 14, weight=QFont.Bold))
def test_input(self) -> None:
""" test for diabetes"""
my_dict = {
"Pregnancies": float(self.l1.text()),
"Glucose": float(self.l2.text()),
"BloodPressure": float(self.l3.text()),
"SkinThickness": float(self.l4.text()),
"Insulin": float(self.l5.text()),
"BMI": float(self.l6.text()),
"DiabetesPedigreeFunction": float(self.l7.text()),
"Age": float(self.l8.text())
}
output = diabetes.check_input(my_dict)
self.report_subhead.setText("Report:")
self.model_details.setText("\n\n\nDiaCare © Fahmid Anabi")
self.details.setText(
"Patient's name: {}\nPregnancies: {}\nGlucose: {} \nBlood Pressure: {}\nSkin Thickness: {}\nInsulin: {}\nBMI: {}\nDPF: {}\nAge: {}"
.format(self.l0.text(), self.l1.text(), self.l2.text(),
self.l3.text(), self.l4.text(), self.l5.text(),
self.l6.text(), self.l7.text(), self.l8.text()))
self.details.setAlignment(Qt.AlignLeft)
self.details.setWordWrap(True)
#
if output == 0:
self.results.setText(
"\nOur diagnosis suggests that patient does not suffers from diabetes."
)
self.results.setStyleSheet("color: green;")
else:
self.results.setText(
"\nOur diagnosis suggests patient does suffer from diabetes.Please immediatly contact to your doctor."
)
self.results.setStyleSheet("color: red;")
self.results.setFont(QFont("Arial", 14, weight=QFont.Bold))
def test_input(self) -> None:
""" test for diabetes"""
my_dict = {"B":float(self.l1.text()), "C":float(self.l2.text()),"D":float(self.l3.text()), "E":float(self.l4.text()), "F": float(self.l5.text())}
output = diabetes.check_input(my_dict)
if output==0:
self.results.setText("Diagnosis suggests that patient does not suffers from diabetes.")
else:
self.results.setText("Our diagnosis suggests patient does suffer from diabetes.\nPlease get checked soon.")
self.results.setFont(QFont("Arial",14, weight=QFont.Bold))
def login():
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = (
r'C:\Users\rahul narayanan\Downloads\online-diabetes-predicto-6655e-firebase-adminsdk-3psrf-7a74ac94ce.json'
)
db = firestore.Client()
ref = db.collection(u'Users').document(u'#name')
doc = ref.get()
a = doc.to_dict()
my_dict = {
"B": float(a['Plasma']),
"C": float(a['BP']),
"D": float(a['Triceps']),
"E": float(a['Insulin']),
"F": float(a['BMI'])
}
output = diabetes.check_input(my_dict)
if output == 0:
#print(output)
return render_template('false.html')
else:
return render_template('true.html')