Dharma is a novel, non-linear, interpretable AI based clinical scoring system
for diagnosis and prognosis of acute appendicitis in patients presenting with
acute abdominal pain.
It utilizes routinely available clinical parameters and point-of-care ultrasound findings to provide accurate predictions.
SHAP Explanations:
The model uses SHAP (SHapley Additive exPlanations) values to interpret predictions. Each SHAP value
quantifies the contribution of a specific input feature to the model’s output, relative to a base value.
The base value represents the model’s expected output,
and the sum of the SHAP values shows how much each feature pushes the prediction above or below this baseline.
If appendix not visualized or USG unavailable:
AUC-ROC: 0.93-0.99 Threshold: >=44% | High Likelihood
Specificity: (93-100)% | PPV: (84-100)%
Sensitivity: (62-86)% | NPV: (80-93)% Threshold: less than 25%
Specificity: (83-95)% | PPV: (72-92)%
Sensitivity: (84-98)% | NPV: (91-99)% (Values are reported from cross-validation)
Conceptualized, Designed, and Developed by: Dr. Anup Thapa, MBBS
Founder: DharmaAI
Sincere gratitude to the team of DharmaAI and my dear friends:
Er. Subash Pahari:
Web-app Development and Deployment
Thank you for introducing me to the wonders of codes and AI,
and for your invaluable mentorship and support.
You are not just a great friend, but also a guiding force in
this project.
