Concepedia

An interpretable machine learning model for the prevention of contrast-induced nephropathy in patients undergoing lower extremity endovascular interventions for peripheral arterial disease

Meredith Cox, J. C. Panagides, John Di Capua, Anahita Dua, Sanjeeva P. Kalva, Jayashree Kalpathy–Cramer, Dania Daye

Clinical Imaging · 2023 · 14 citations · 26 references

DOI

Concepts

References

26

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

Fuhui Long, Chen Ding · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 10.5K citations

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Proceedings of the 21st International Conference on Neural Information Processing Systems

Daphne Koller, Dale Schuurmans, Yoshua Bengio et al. · 2008 · 4.5K citations

, , +14

A Clinical Score to Predict Acute Renal Failure after Cardiac Surgery

Charuhas V. Thakar, Susana Arrigain, Sarah Worley et al. · Journal of the American Society of Nephrology · 2004 · 1.1K citations · Full text

, , +15

Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis

Manish Motwani, Damini Dey, Daniel S. Berman et al. · European Heart Journal · 2016 · 705 citations · Full text

, , +17

Incidence of Contrast-Induced Nephropathy after Contrast-Enhanced Computed Tomography in the Outpatient Setting

Alice M. Mitchell, Alan E. Jones, James A. Tumlin et al. · Clinical Journal of the American Society of Nephrology · 2009 · 294 citations · Full text

, , +15