Upload 7 files

120m_data_train.csv

@@ -1,4 +1,4 @@
-,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_(Largest_Diameter),Tumor_Size_(Second_Largest_Diameter),Tumor_Size_(Third_Largest_Diameter),Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
+,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_Largest_Diameter,Tumor_Size_Second_Largest_Diameter,Tumor_Size_Third_Largest_Diameter,Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
 0,0,2,78,1,0,0,1,0,1,0,1,11,10,10,0,0,1,0,0,1,0
 1,0,3,71,1,0,0,1,0,1,0,0,4,3,2,0,2,1,0,0,2,0
 2,2,2,49,0,0,2,0,0,0,0,1,1,1,11,0,2,1,3,0,1,0

120m_data_valid.csv

@@ -1,4 +1,4 @@
-PUF_CASE_ID,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_(Largest_Diameter),Tumor_Size_(Second_Largest_Diameter),Tumor_Size_(Third_Largest_Diameter),Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
+PUF_CASE_ID,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_Largest_Diameter,Tumor_Size_Second_Largest_Diameter,Tumor_Size_Third_Largest_Diameter,Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
 D3245dcb0-d6b8-46f1-beeb-e6d873bc1aca,0,2,76,0,0,0,1,0,1,0,1,0,11,11,2,2,0,2,0,1,0
 D27617085-0155-4c91-ab28-a868aa463ed9,2,0,75,1,0,0,1,0,1,0,1,3,3,11,2,2,0,2,0,1,1
 D51bda17b-7886-4745-9029-53aa5c4f5cbb,2,8,60,0,0,0,5,2,1,2,1,9,11,11,2,2,1,0,0,1,0

36m_data_train.csv

@@ -1,4 +1,4 @@
-,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_(Largest_Diameter),Tumor_Size_(Second_Largest_Diameter),Tumor_Size_(Third_Largest_Diameter),Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
+,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_Largest_Diameter,Tumor_Size_Second_Largest_Diameter,Tumor_Size_Third_Largest_Diameter,Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
 0,0,2,78,1,0,0,1,0,1,0,1,11,10,10,0,0,1,0,0,1,0
 1,0,3,71,1,0,0,1,0,1,0,0,4,3,2,0,2,1,0,0,2,0
 2,2,2,49,0,0,2,0,0,0,0,1,1,1,11,0,2,1,3,0,1,0

36m_data_valid.csv

@@ -1,4 +1,4 @@
-PUF_CASE_ID,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_(Largest_Diameter),Tumor_Size_(Second_Largest_Diameter),Tumor_Size_(Third_Largest_Diameter),Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
+PUF_CASE_ID,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_Largest_Diameter,Tumor_Size_Second_Largest_Diameter,Tumor_Size_Third_Largest_Diameter,Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
 D3245dcb0-d6b8-46f1-beeb-e6d873bc1aca,0,2,76,0,0,0,1,0,1,0,1,0,11,11,2,2,0,2,0,1,0
 D27617085-0155-4c91-ab28-a868aa463ed9,2,0,75,1,0,0,1,0,1,0,1,3,3,11,2,2,0,2,0,1,0
 D51bda17b-7886-4745-9029-53aa5c4f5cbb,2,8,60,0,0,0,5,2,1,2,1,9,11,11,2,2,1,0,0,1,0

60m_data_train.csv

@@ -1,4 +1,4 @@
-,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_(Largest_Diameter),Tumor_Size_(Second_Largest_Diameter),Tumor_Size_(Third_Largest_Diameter),Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
+,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_Largest_Diameter,Tumor_Size_Second_Largest_Diameter,Tumor_Size_Third_Largest_Diameter,Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
 0,0,2,78,1,0,0,1,0,1,0,1,11,10,10,0,0,1,0,0,1,0
 1,0,3,71,1,0,0,1,0,1,0,0,4,3,2,0,2,1,0,0,2,0
 2,2,2,49,0,0,2,0,0,0,0,1,1,1,11,0,2,1,3,0,1,0

60m_data_valid.csv

@@ -1,4 +1,4 @@
-PUF_CASE_ID,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_(Largest_Diameter),Tumor_Size_(Second_Largest_Diameter),Tumor_Size_(Third_Largest_Diameter),Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
+PUF_CASE_ID,Facility_Type,Facility_Location,Age_at_Diagnosis,Sex,Race,Hispanic_Ethnicity,Insurance_Status,CharlsonDeyo_Score,Primary_Site,Histology,Diagnostic_Biopsy,Tumor_Size_Largest_Diameter,Tumor_Size_Second_Largest_Diameter,Tumor_Size_Third_Largest_Diameter,Regional_Lymph_Nodes,Distant_Metastasis,Surgery,Surgical_Margins,Chemotherapy,Radiation_Treatment,OUTCOME
 D3245dcb0-d6b8-46f1-beeb-e6d873bc1aca,0,2,76,0,0,0,1,0,1,0,1,0,11,11,2,2,0,2,0,1,0
 D27617085-0155-4c91-ab28-a868aa463ed9,2,0,75,1,0,0,1,0,1,0,1,3,3,11,2,2,0,2,0,1,1
 D51bda17b-7886-4745-9029-53aa5c4f5cbb,2,8,60,0,0,0,5,2,1,2,1,9,11,11,2,2,1,0,0,1,0

app.py

@@ -322,11 +322,11 @@ with gr.Blocks(title = "NCDB-Chordoma") as demo:
             
             Diagnostic_Biopsy = gr.Dropdown(label = "Diagnostic Biopsy", choices = ['No', 'Yes', 'Unknown'], type = 'index', value = 'No')
             
-            Tumor_Size_(Largest_Diameter) = gr.Dropdown(label = "Tumor Size (Largest Diameter)", choices = ['< 2 cm', '2 - 3.9 cm', '4 - 5.9 cm', '6 - 7.9 cm', '8 - 9.9 cm', '10 - 11.9 cm', '12 - 13.9 cm', '14 - 15.9 cm', '16 - 17.9 cm', '18 - 19.9 cm', '> 20 cm', 'Unknown'], type = 'index', value = '< 2 cm')
+            Tumor_Size_Largest_Diameter = gr.Dropdown(label = "Tumor Size (Largest Diameter)", choices = ['< 2 cm', '2 - 3.9 cm', '4 - 5.9 cm', '6 - 7.9 cm', '8 - 9.9 cm', '10 - 11.9 cm', '12 - 13.9 cm', '14 - 15.9 cm', '16 - 17.9 cm', '18 - 19.9 cm', '> 20 cm', 'Unknown'], type = 'index', value = '< 2 cm')
             
-            Tumor_Size_(Second_Largest_Diameter) = gr.Dropdown(label = "Tumor Size (Second Largest Diameter)", choices = ['< 2 cm', '2 - 3.9 cm', '4 - 5.9 cm', '6 - 7.9 cm', '8 - 9.9 cm', '10 - 11.9 cm', '12 - 13.9 cm', '14 - 15.9 cm', '16 - 17.9 cm', '18 - 19.9 cm', '> 20 cm', 'Unknown'], type = 'index', value = '< 2 cm')
+            Tumor_Size_Second_Largest_Diameter = gr.Dropdown(label = "Tumor Size (Second Largest Diameter)", choices = ['< 2 cm', '2 - 3.9 cm', '4 - 5.9 cm', '6 - 7.9 cm', '8 - 9.9 cm', '10 - 11.9 cm', '12 - 13.9 cm', '14 - 15.9 cm', '16 - 17.9 cm', '18 - 19.9 cm', '> 20 cm', 'Unknown'], type = 'index', value = '< 2 cm')
             
-            Tumor_Size_(Third_Largest_Diameter) = gr.Dropdown(label = "Tumor Size (Third Largest Diameter)", choices = ['< 2 cm', '2 - 3.9 cm', '4 - 5.9 cm', '6 - 7.9 cm', '8 - 9.9 cm', '10 - 11.9 cm', '12 - 13.9 cm', '14 - 15.9 cm', '16 - 17.9 cm', '18 - 19.9 cm', '> 20 cm', 'Unknown'], type = 'index', value = '< 2 cm')            
+            Tumor_Size_Third_Largest_Diameter = gr.Dropdown(label = "Tumor Size (Third Largest Diameter)", choices = ['< 2 cm', '2 - 3.9 cm', '4 - 5.9 cm', '6 - 7.9 cm', '8 - 9.9 cm', '10 - 11.9 cm', '12 - 13.9 cm', '14 - 15.9 cm', '16 - 17.9 cm', '18 - 19.9 cm', '> 20 cm', 'Unknown'], type = 'index', value = '< 2 cm')            
                                     
             Regional_Lymph_Nodes = gr.Dropdown(label = 'Regional Lymph Nodes', choices = ['No', 'Yes', 'Unknown or not applicable'], type = 'index', value = 'No')
             
@@ -479,37 +479,37 @@ with gr.Blocks(title = "NCDB-Chordoma") as demo:
            
                 y1_predict_btn.click(
                     y1_predict,
-                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_(Largest_Diameter), Tumor_Size_(Second_Largest_Diameter), Tumor_Size_(Third_Largest_Diameter), Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
+                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_Largest_Diameter, Tumor_Size_Second_Largest_Diameter, Tumor_Size_Third_Largest_Diameter, Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
                     outputs = [label1]
                 )
 
                 y2_predict_btn.click(
                     y2_predict,
-                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_(Largest_Diameter), Tumor_Size_(Second_Largest_Diameter), Tumor_Size_(Third_Largest_Diameter), Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
+                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_Largest_Diameter, Tumor_Size_Second_Largest_Diameter, Tumor_Size_Third_Largest_Diameter, Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
                     outputs = [label2]
                 )
                 
                 y3_predict_btn.click(
                     y3_predict,
-                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_(Largest_Diameter), Tumor_Size_(Second_Largest_Diameter), Tumor_Size_(Third_Largest_Diameter), Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
+                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_Largest_Diameter, Tumor_Size_Second_Largest_Diameter, Tumor_Size_Third_Largest_Diameter, Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
                     outputs = [label3]
                 )
 
                 y1_interpret_btn.click(
                     y1_interpret,
-                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_(Largest_Diameter), Tumor_Size_(Second_Largest_Diameter), Tumor_Size_(Third_Largest_Diameter), Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
+                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_Largest_Diameter, Tumor_Size_Second_Largest_Diameter, Tumor_Size_Third_Largest_Diameter, Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
                     outputs = [plot1],
                 )
                 
                 y2_interpret_btn.click(
                     y2_interpret,
-                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_(Largest_Diameter), Tumor_Size_(Second_Largest_Diameter), Tumor_Size_(Third_Largest_Diameter), Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
+                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_Largest_Diameter, Tumor_Size_Second_Largest_Diameter, Tumor_Size_Third_Largest_Diameter, Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
                     outputs = [plot2],
                 )
 
                 y3_interpret_btn.click(
                     y3_interpret,
-                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_(Largest_Diameter), Tumor_Size_(Second_Largest_Diameter), Tumor_Size_(Third_Largest_Diameter), Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
+                    inputs = [Facility_Type, Facility_Location, Age_at_Diagnosis, Sex, Race, Hispanic_Ethnicity, Insurance_Status, CharlsonDeyo_Score, Primary_Site, Histology, Diagnostic_Biopsy, Tumor_Size_Largest_Diameter, Tumor_Size_Second_Largest_Diameter, Tumor_Size_Third_Largest_Diameter, Regional_Lymph_Nodes, Distant_Metastasis, Surgery	Surgical_Margins, Chemotherapy, Radiation_Treatment],
                     outputs = [plot3],
                 )