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

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

doi:10.1016/j.ekir.2022.04.004

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

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

Research output: Contribution to journal › Article › peer-review

Original language	English (US)
Journal	Kidney International Reports
DOIs	https://doi.org/10.1016/j.ekir.2022.04.004
State	Accepted/In press - 2022

Keywords

dialysis
end-stage renal disease
heart transplant
machine learning
prediction
random forest

ASJC Scopus subject areas

Nephrology

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10.1016/j.ekir.2022.04.004

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Mete, M., Ayvaci, M. U. S., Ariyamuthu, V. K., Amin, A. A., Peltz, M., Thibodeau, J. T., Grodin, J. L., Mammen, P. P. A., Garg, S., Araj, F., Morlend, R., Drazner, M. H., AbdulRahim, N., Kim, Y., Salam, Y., Gungor, A. B., Delibasi, B., Kotla, S. K., MacConmara, M. P., ... Tanriover, B. (Accepted/In press). Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool. Kidney International Reports. https://doi.org/10.1016/j.ekir.2022.04.004

Mete, M, Ayvaci, MUS, Ariyamuthu, VK, Amin, AA , Peltz, M , Thibodeau, JT , Grodin, JL , Mammen, PPA , Garg, S , Araj, F , Morlend, R , Drazner, MH, AbdulRahim, N, Kim, Y, Salam, Y, Gungor, AB, Delibasi, B, Kotla, SK, MacConmara, MP, Mohan Anand, P, Gupta, G & Tanriover, B 2022, 'Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool', Kidney International Reports. https://doi.org/10.1016/j.ekir.2022.04.004

@article{f1140304395e4aa8bfbe7ddd7cc54673,

title = "Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool",

keywords = "dialysis, end-stage renal disease, heart transplant, machine learning, prediction, random forest",

author = "Mutlu Mete and Ayvaci, {Mehmet U.S.} and Ariyamuthu, {Venkatesh Kumar} and Amin, {Alpesh A} and Matthias Peltz and Thibodeau, {Jennifer T.} and Grodin, {Justin L.} and Mammen, {Pradeep P.A.} and Sonia Garg and Faris Araj and Robert Morlend and Drazner, {Mark H} and Nashila AbdulRahim and Yeongin Kim and Yusuf Salam and Gungor, {Ahmet B.} and Bulent Delibasi and Kotla, {Suman K.} and MacConmara, {Malcolm P} and {Mohan Anand}, Prince and Gaurav Gupta and Bekir Tanriover",

note = "Funding Information: This research is partly supported by the University of Texas System Southwestern The George M. O'Brien Kidney Research Core Center NIH P30DK079328 and the Texas Health Resources Scholarship (JLG). This work was supported in part by Health Resources and Services Administration contract 234-2005-37011C. The content is the responsibility of the authors alone. It does not necessarily reflect the Department of Health and Human Services' views or policies, nor does it mention trade names, commercial products, or organizations imply endorsement by the US Government.",

year = "2022",

doi = "10.1016/j.ekir.2022.04.004",

language = "English (US)",

journal = "Kidney International Reports",

issn = "2468-0249",

publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults

T2 - A Machine Learning Decision Tool

AU - Mete, Mutlu

AU - Ayvaci, Mehmet U.S.

AU - Ariyamuthu, Venkatesh Kumar

AU - Amin, Alpesh A

AU - Peltz, Matthias

AU - Thibodeau, Jennifer T.

AU - Grodin, Justin L.

AU - Mammen, Pradeep P.A.

AU - Garg, Sonia

AU - Araj, Faris

AU - Morlend, Robert

AU - Drazner, Mark H

AU - AbdulRahim, Nashila

AU - Kim, Yeongin

AU - Salam, Yusuf

AU - Gungor, Ahmet B.

AU - Delibasi, Bulent

AU - Kotla, Suman K.

AU - MacConmara, Malcolm P

AU - Mohan Anand, Prince

AU - Gupta, Gaurav

AU - Tanriover, Bekir

N1 - Funding Information: This research is partly supported by the University of Texas System Southwestern The George M. O'Brien Kidney Research Core Center NIH P30DK079328 and the Texas Health Resources Scholarship (JLG). This work was supported in part by Health Resources and Services Administration contract 234-2005-37011C. The content is the responsibility of the authors alone. It does not necessarily reflect the Department of Health and Human Services' views or policies, nor does it mention trade names, commercial products, or organizations imply endorsement by the US Government.

PY - 2022

Y1 - 2022

KW - dialysis

KW - end-stage renal disease

KW - heart transplant

KW - machine learning

KW - prediction

KW - random forest

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UR - http://www.scopus.com/inward/citedby.url?scp=85129940614&partnerID=8YFLogxK

U2 - 10.1016/j.ekir.2022.04.004

DO - 10.1016/j.ekir.2022.04.004

M3 - Article

C2 - 35685329

AN - SCOPUS:85129940614

JO - Kidney International Reports

JF - Kidney International Reports

SN - 2468-0249

ER -

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

Keywords

ASJC Scopus subject areas

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