Update app.py

app.py

@@ -35,45 +35,42 @@ with st.form("input_form"):
         chestpain = st.selectbox(
             "Chest Pain Type",
             ['No Data Available','Non-anginal_pain', 'Typical_angina', 'Atypical_angina','Asymptomatic'],
-            help="Select the type of chest pain",
+            help="Select the type of chest pain. 'No Data Available' corresponds to an unknown value. If selected, the 'most frequent' value of the category will be used for prediction."
         )
         chestpain = np.nan if chestpain == 'No Data Available' else chestpain
-        restingBP = st.number_input("Resting Blood Pressure", min_value = (-1), max_value=300, step=1, format="%d", help="Enter the resting blood pressure (in mmHg), '-1' corresponds to unknown resting blood pressure")
+        restingBP = st.number_input("Resting Blood Pressure", min_value = (-1), max_value=300, step=1, format="%d", help="Enter the resting blood pressure (in mmHg). '-1' corresponds to an unknown resting BP level. If selected, then mean value of the category will be used for prediction.")
         restingBP = np.nan if restingBP == (-1) else restingBP
 
     with col2:
         serum_cholesterol = st.number_input(
-            "Serum Cholesterol", min_value=(-1), max_value=1000, step=1, format="%d", help="Enter serum cholesterol level (in mg/dL), '-1' corresponds to unknown serum choesterol level"
+            "Serum Cholesterol", min_value=(-1), max_value=1000, step=1, format="%d", help="Enter serum cholesterol level (in mg/dL). '-1' corresponds to an unknown serum choesterol level. If selected, then mean value of the category will be used for prediction."
         )
         serum_cholesterol = np.nan if serum_cholesterol == (-1) else serum_cholesterol
         fasting_blood_sugar = st.radio(
-            "Fasting Blood Sugar > 120 mg/dL", ['Yes', 'No','No Data Available'], horizontal=True, help ="Indicate if fasting blood sugar is greater than 120 mg/dL"
+            "Fasting Blood Sugar > 120 mg/dL", ['Yes', 'No','No Data Available'], horizontal=True, help ="Indicate if fasting blood sugar is greater than 120 mg/dL. 'No Data Available' corresponds to an unknown fasting blood sugar level. If selected, the 'most frequent' value of the category will be used for prediction."
         )
         fasting_blood_sugar = np.nan if fasting_blood_sugar == 'No Data Available' else fasting_blood_sugar
         restingrelectro = st.selectbox(
             "Resting Electrocardiographic Results",
             ['No Data Available','ST-T_wave_abnormality', 'Normal', 'Left_ventricular_hypertrophy'],
-            help="Select the resting electrocardiographic result",
+            help="Select the resting electrocardiographic result. 'No Data Available' corresponds to an unknown ECG result. If selected, the 'most frequent' value of the category will be used for prediction."
         )
         restingrelectro = np.nan if restingrelectro == 'No Data Available' else restingrelectro
         maxheartrate = st.number_input(
-            "Maximum Heart Rate Achieved", min_value=(-1), max_value=250, step=1, format="%d", help="Enter the maximum heart rate achieved, '-1' corresponds to unknown maximum heart rate"
+            "Maximum Heart Rate Achieved", min_value=(-1), max_value=250, step=1, format="%d", help ="Enter the maximum heart rate achieved. '-1' corresponds to an unknown maximum heart rate. If selected, then mean value of the category will be used for prediction.
         )
         maxheartrate = np.nan if maxheartrate == (-1) else maxheartrate
 
 
     # Second row of inputs
-    exerciseangia = st.radio("Exercise-Induced Angina", ['Yes', 'No','No Data Available'], horizontal=True, help = "Indicate if exercise induced angina is present or not. 'Most frequent' category will be used for prediction if 'No Data Available' option is selected")
+    exerciseangia = st.radio("Exercise-Induced Angina", ['Yes', 'No','No Data Available'], horizontal=True, help = "Indicate if exercise induced angina is present or not. 'No Data Available' corresponds to an unknown value. If selected, the 'most frequent' value of the category will be used for prediction.")
     exerciseangia = np.nan if exerciseangia == 'No Data Available' else exerciseangia
-    oldpeak = st.number_input("ST Depression Induced by Exercise",min_value = (-0.1), max_value = (10) ,step = 0.1, help="Enter ST depression value induced by exercise relative to rest, any negetive input value corresponds to null value or unknown value")
+    oldpeak = st.number_input("ST Depression Induced by Exercise",min_value = (-0.1), max_value = 10 ,step = 0.1, help="Enter ST depression value induced by exercise relative to rest. '-0.1' corresponds to an unknown value. If selected, then mean value of the category will be used for prediction.")
     oldpeak = np.nan if oldpeak == (-0.1) else oldpeak
-    slope = st.selectbox("Slope of Peak Exercise ST Segment", ['No Data Available','Downsloping', 'Upsloping', 'Flat'],help = '''The slope of the peak exercise ST segment can be categorized as upsloping, horizontal, or downsloping. A normal ST segment during exercise slopes sharply upwards. 
-    The slope of the ST segment is the shift of the ST segment relative to the increase in heart rate caused by exercise.''')
+    slope = st.selectbox("Slope of Peak Exercise ST Segment", ['No Data Available','Downsloping', 'Upsloping', 'Flat'], help = "A normal ST segment during exercise slopes sharply upwards. The slope of the ST segment is the shift of the ST segment relative to the increase in heart rate caused by exercise. 'No Data Available' corresponds to an unknown slope value. If selected, the 'most frequent' value of the category will be used for prediction.")
     slope = np.nan if slope == 'No Data Available' else slope
     noofmajorvessels = st.selectbox(
-        "Number of Major Vessels", ['No Data Available','Zero', 'One', 'Two', 'Three'],help = "Fluoroscopy is a procedure used during cardiac catheterization to help doctors see blood flow through the coronary arteries. 
-    This allows doctors to evaluate for arterial blockages"
-    )
+        "Number of Major Vessels", ['No Data Available','Zero', 'One', 'Two', 'Three'],help = "Fluoroscopy is a procedure used during cardiac catheterization to help doctors see blood flow through the coronary arteries. This allows doctors to evaluate for arterial blockages.'No Data Available' corresponds to an unknown value. If selected, the 'most frequent' value of the category will be used for prediction.")
     noofmajorvessels = np.nan if noofmajorvessels == 'No Data Available' else noofmajorvessels
 
     # Submit button
@@ -112,4 +109,4 @@ st.markdown(
     </a>'''
     ,
     unsafe_allow_html=True,
-)
+)