Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool. Academic Article

authors

• Mete, Mutlu

published proceedings

• Kidney Int Rep

altmetric score

• 1.75

author list (cited authors)

• Mete, M., Ayvaci, M., Ariyamuthu, V. K., Amin, A., Peltz, M., Thibodeau, J. T., ... Tanriover, B.

citation count

• 3

complete list of authors

• Mete, Mutlu||Ayvaci, Mehmet US||Ariyamuthu, Venkatesh K||Amin, Alpesh||Peltz, Matthias||Thibodeau, Jennifer T||Grodin, Justin L||Mammen, Pradeep PA||Garg, Sonia||Araj, Faris||Morlend, Robert||Drazner, Mark H||AbdulRahim, Nashila||Kim, Yeongin||Salam, Yusuf||Gungor, Ahmet B||Delibasi, Bulent||Kotla, Suman K||MacConmara, Malcolm P||Mohan Anand, Prince||Gupta, Gaurav||Tanriover, Bekir

publication date

• June 2022

publisher

• Elsevier  Publisher

published in

• Kidney International Reports  Journal

keywords

• Dialysis
• End-stage Renal Disease
• Heart Transplant
• Machine Learning
• Prediction
• Random Forest

PubMed Central ID

• 35685329

Digital Object Identifier (DOI)

• 10.1016/j.ekir.2022.04.004

start page

• 1410

end page

• 1415

volume

• 7

issue

• 6

URL

• http://dx.doi.org/10.1016/j.ekir.2022.04.004