Predicting Adverse Outcomes in Chronic Kidney Disease Using Machine Learning Methods: Data from the Modification of Diet in Renal Disease

Zeid Khitan; Anna P Shapiro; Preeya T Shah; Juan R Sanabria; Prasanna Santhanam; Komal Sodhi; Nader G Abraham; Joseph I Shapiro

doi:10.18590/mjm.2017.vol3.iss4.10

Predicting Adverse Outcomes in Chronic Kidney Disease Using Machine Learning Methods: Data from the Modification of Diet in Renal Disease

Zeid Khitan
, Anna P Shapiro
, Preeya T Shah
, Juan R Sanabria
, Prasanna Santhanam
, Komal Sodhi
, Nader G Abraham
, Joseph I Shapiro

Marshall University

Cleveland Clinic Foundation
Marshall University
Marshall University, Johns Hopkins University

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

Original language	American English
Journal	Marshall Journal of Medicine
DOIs	https://doi.org/10.18590/mjm.2017.vol3.iss4.10
State	Published - 1800

Keywords

hypertension
blood pressure
chronic renal disease
correlation
machine learning
cardiovascular disease

Disciplines

Nephrology

Access to Document

10.18590/mjm.2017.vol3.iss4.10License: Unspecified

Predictive Analytics and the MDRD StudyFinal published version, 273 KBLicense: Unspecified
Predictive Analytics and the MDRD StudyFinal published version, 273 KBLicense: Unspecified

Cite this

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title = "Predicting Adverse Outcomes in Chronic Kidney Disease Using Machine Learning Methods: Data from the Modification of Diet in Renal Disease",

keywords = "hypertension, blood pressure, chronic renal disease, correlation, machine learning, cardiovascular disease",

author = "Zeid Khitan and Shapiro, \{Anna P\} and Shah, \{Preeya T\} and Sanabria, \{Juan R\} and Prasanna Santhanam and Komal Sodhi and Abraham, \{Nader G\} and Shapiro, \{Joseph I\}",

year = "1800",

doi = "10.18590/mjm.2017.vol3.iss4.10",

language = "American English",

journal = "Marshall Journal of Medicine",

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TY - JOUR

T1 - Predicting Adverse Outcomes in Chronic Kidney Disease Using Machine Learning Methods: Data from the Modification of Diet in Renal Disease

AU - Khitan, Zeid

AU - Shapiro, Anna P

AU - Shah, Preeya T

AU - Sanabria, Juan R

AU - Santhanam, Prasanna

AU - Sodhi, Komal

AU - Abraham, Nader G

AU - Shapiro, Joseph I

PY - 1800

Y1 - 1800

KW - hypertension

KW - blood pressure

KW - chronic renal disease

KW - correlation

KW - machine learning

KW - cardiovascular disease

UR - https://mds.marshall.edu/mjm/vol3/iss4/10

U2 - 10.18590/mjm.2017.vol3.iss4.10

DO - 10.18590/mjm.2017.vol3.iss4.10

M3 - Article

JO - Marshall Journal of Medicine

JF - Marshall Journal of Medicine

ER -

Predicting Adverse Outcomes in Chronic Kidney Disease Using Machine Learning Methods: Data from the Modification of Diet in Renal Disease

Keywords

Disciplines

Access to Document

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