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. Author manuscript; available in PMC: 2023 Aug 1.
Published in final edited form as: J Gastrointest Surg. 2022 May 4;26(8):1732–1742. doi: 10.1007/s11605-022-05332-x

Table 4.

Relative Importance of Input Variables Compared between Neural Network and Logistic Regression Using SHAP Values and Odds Ratios

Anastomotic leak
Variable SHAP value Variable Odds ratio*

Approach 0.016 Chemotherapy 1.32

Mechanical bowel prep 0.016 Steroid use 1.25

Antibiotic bowel prep 0.014 Antibiotic bowel prep 0.81

Emergent indication 0.011 Mechanical bowel prep 0.86

Steroid use 0.010 Approach 1.14

Chemotherapy 0.009 Emergent indication 0.94

Indication 0.009 Indication 1.01

Bile leak
Variable SHAP value Variable Odds ratio*

Use of drain 0.034 Biliary reconstruction 1.88

Biliary reconstruction 0.029 Pringle maneuver 1.42

Approach 0.017 Approach 1.37

Biliary stent 0.016 Neoadjuvant chemo-embolization 1.37

Pringle maneuver 0.015 Use of drain 1.37

# of concurrent resections 0.011 Neoadjuvant chemo-infusion 0.73

Concurrent ablation 0.01 Biliary stent 1.22

Viral hepatitis 0.009 Neoadjuvant ablation 1.19

Neoadjuvant therapy 0.009 Neoadjuvant chemotherapy 1.17

Neoadjuvant chemo-embolization 0.008 Viral hepatitis 1.13

Pancreatic fistula
Variable SHAP value Variable Odds ratio*

Gland texture 0.039 Drains placed 1.27

Indication 0.036 Gland texture 1.25

Drain amylase (POD1) 0.027 Chemotherapy 0.89

Reconstruction 0.010 Reconstruction 1.09

Duct size 0.008 Indication 0.92

Vascular resection 0.006 Radiation therapy 0.93

Biliary stent 0.006 Vascular resection 0.94

Jaundice 0.006 Duct size 0.94

Radiation therapy 0.006 Antibiotic 0.96

Chemotherapy 0.005 Jaundice 0.97
*

Odds ratio is sorted by distance from 1 (null value)