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decision-curve-analysis

Here are 7 public repositories matching this topic...

ddsjoberg / dcurves

Decision Curve Analysis

r rstats r-package decision-curve-analysis

Updated Nov 15, 2025
HTML

MSKCC-Epi-Bio / dcurves

Python package for Andrew Vickers' Decision Curve Analysis method to evaluate prediction models and diagnostic tests

python library decision-curve-analysis decision-curve

Updated Oct 24, 2025
Python

ddsjoberg / dca-tutorial

tutorial decision-curve-analysis

Updated Apr 14, 2024
HTML

konny1990 / Paper_DCA_NMA

Reproduce the results from the paper: "Decision Curve Analysis for Personalized Treatment Choice between Multiple Options. K. Chalkou, et. al. Med Decis Making . 2023 Apr;43(3):337-349. doi: 10.1177/0272989X221143058." This methodological paper describes the methods for evaluating the clinical utility of prediction model with multiple treatments.

prediction-model nma decision-curve-analysis

Updated Jul 21, 2023
R

MinglongCheng / tabular-ml-shap-consistency

End-to-end tabular ML pipeline: example dataset + single script to train and evaluate all models, SHAP explainability, and cross-model consistency analysis.

python machine-learning random-forest scikit-learn xgboost lightgbm artificial-neural-networks logistic-regression support-vector-machine confusion-matrix roc-curve decision-tree model-evaluation calibration-curve shap model-interpretability decision-curve-analysis feature-engineering-ml cross-model-consistency

Updated Dec 4, 2025
Python

eyyuboeztuerk-arch / DPP-Stackfuel-Data-Science-Projekt

Predicting diabetes risk from BRFSS health indicators with interpretable ML, threshold optimization, and bias/subgroup analysis.

python machine-learning svm scikit-learn eda kaggle healthcare xgboost classification logistic-regression diabetes fairness brfss bias-analysis decision-curve-analysis

Updated Oct 17, 2025
Jupyter Notebook

Stokaru / tabular-ml-shap-consistency

🔍 Streamline tabular binary classification with model interpretability and SHAP consistency analysis for clear insights and robust evaluation.

python machine-learning random-forest scikit-learn xgboost lightgbm artificial-neural-networks logistic-regression support-vector-machine confusion-matrix roc-curve model-evaluation calibration-curve shap model-interpretability decision-curve-analysis feature-engineering-ml cross-model-consistency

Updated Feb 2, 2026
Python

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