Update app.py

app.py

@@ -6,9 +6,9 @@ import plotly.graph_objs as go
 
 # Constants from linear regression
 REGRESSION_CONSTANTS = {
-    'FN': {'mu': 0.916852, 'sigma': 0.120754},
-    'TH': {'mu': 0.955439, 'sigma': 0.125406},
-    'LS': {'mu': 1.131649, 'sigma': 0.139618},
+    'Femoral Neck': {'mu': 0.916852, 'sigma': 0.120754},
+    'Total Hip': {'mu': 0.955439, 'sigma': 0.125406},
+    'Lumbar spine (L1-L4)': {'mu': 1.131649, 'sigma': 0.139618},
 }
 
 # Load medication data
@@ -37,8 +37,7 @@ def generate_predictions(medication_data, site, bmd, mu, sigma):
         for year in row.index[1:-1]:  # Skip 'Medication' and 'Site' columns
             if not pd.isna(row[year]):
                 percentage_increase = row[year]
-                # BMD calculated using initial BMD (from user input)
-                predicted_bmd = bmd * (1 + percentage_increase)
+                predicted_bmd = bmd * (1 + percentage_increase)  # Adjusted as per your update
                 predicted_tscore = calculate_tscore(predicted_bmd, mu, sigma)
                 
                 predictions['Year'].append(year.replace(" Year", ""))  # Simplify year label
@@ -48,7 +47,6 @@ def generate_predictions(medication_data, site, bmd, mu, sigma):
         all_results.append({'Drug': drug, 'Predictions': predictions})
     return all_results
 
-
 # Display results as table and plots
 def display_results(predictions, site):
     st.subheader(f"Predictions for {site}")
@@ -86,6 +84,16 @@ def display_results(predictions, site):
 def main():
     st.title("BMD and T-score Prediction Tool")
     
+    # DEXA Machine Selection
+    dexa_machine = st.selectbox("DEXA Machine", ["LUNAR"])
+    
+    # Gender Selection
+    gender = st.selectbox("Gender", ["Female"])
+    
+    # Location (Site) Selection
+    site_options = ['Lumbar spine (L1-L4)', 'Femoral Neck', 'Total Hip']
+    site = st.selectbox("Select Region (Site)", site_options)
+    
     # Input patient data
     bmd_patient = st.number_input(
         "Initial BMD",
@@ -93,8 +101,6 @@ def main():
         value=0.800, step=0.001,
         format="%.3f"
     )
-    site_options = ['FN', 'TH', 'LS']
-    site = st.selectbox("Select Region (Site)", site_options)
     
     # Load constants and medication data
     constants = REGRESSION_CONSTANTS[site]