SP787PREDICTIVE MODELING OF DELAYED GRAFT FUNCTION AFTER KIDNEY TRANSPLANTATION USING MACHINE LEARNING METHODS

Alexander Decruyenaere; Philippe Decruyenaere; Frank Vermassen; Patrick Peeters; Tom Dhaene; Ivo Couckuyt

doi:10.1093/ndt/gfv202.13

SP787PREDICTIVE MODELING OF DELAYED GRAFT FUNCTION AFTER KIDNEY TRANSPLANTATION USING MACHINE LEARNING METHODS

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfv202.13 ◽

2015 ◽

Vol 30 (suppl_3) ◽

pp. iii638-iii638

Author(s):

Alexander Decruyenaere ◽

Philippe Decruyenaere ◽

Frank Vermassen ◽

Patrick Peeters ◽

Tom Dhaene ◽

...

Keyword(s):

Machine Learning ◽

Kidney Transplantation ◽

Graft Function ◽

Delayed Graft Function ◽

Learning Methods ◽

Machine Learning Methods

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Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-015-0206-y ◽

2015 ◽

Vol 15 (1) ◽

Cited By ~ 27

Author(s):

Alexander Decruyenaere ◽

Philippe Decruyenaere ◽

Patrick Peeters ◽

Frank Vermassen ◽

Tom Dhaene ◽

...

Keyword(s):

Machine Learning ◽

Logistic Regression ◽

Kidney Transplantation ◽

Graft Function ◽

Delayed Graft Function ◽

Learning Methods ◽

Machine Learning Methods

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IS THIS POSSIBLE TO PREDICT DELAYED GRAFT FUNCTION AFTER KIDNEY TRANSPLANTATION? PRELIMINARY STUDY ON POSSIBLE APPLICATION OF MACHINE LEARNING IN EARLY ROUTINE POST-KIDNEY TRANSPLANT CARE

Transplantation Journal ◽

10.1097/01.tp.0000700564.68741.75 ◽

2020 ◽

Vol 104 (S3) ◽

pp. S391-S391

Author(s):

Jerzy Sieńko ◽

Bartosz Wojciuk ◽

Maciej Kotowski ◽

Agata Filipowska ◽

Michał Skrzypek

Keyword(s):

Machine Learning ◽

Kidney Transplantation ◽

Kidney Transplant ◽

Graft Function ◽

Delayed Graft Function ◽

Preliminary Study

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Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases

10.3389/978-2-88966-274-6 ◽

2020 ◽

Keyword(s):

Machine Learning ◽

Big Data ◽

Hereditary Diseases ◽

Learning Methods ◽

Machine Learning Methods ◽

Interpretable Machine Learning

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Application of machine learning methods for automatic interpretation of open hole logging data

Neftyanoe khozyaystvo - Oil Industry ◽

10.24887/0028-2448-2020-11-44-47 ◽

2020 ◽

pp. 44-47

Author(s):

M.A. Basyrov ◽

◽

A.V. Akinshin ◽

I.R. Makhmutov ◽

Yu.D. Kantemirov ◽

...

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods ◽

Automatic Interpretation ◽

Open Hole

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Is perioperative saline administration during kidney transplantation associated with delayed graft function?

10.26226/morressier.57108e31d462b80290b4a971 ◽

2016 ◽

Author(s):

Alexandre Rached

Keyword(s):

Kidney Transplantation ◽

Graft Function ◽

Delayed Graft Function ◽

Saline Administration

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TESTING PREDICTION ACCURACY OF HDU ADMISSION FOLLOWING HIGH GRADE SEROUS ADVANCED OVARIAN CANCER CYTOREDUCTIVE SURGERY USING MACHINE LEARNING METHODS.

10.26226/morressier.5fa3ee5d55b1fd4cc4dd93d7 ◽

2020 ◽

Author(s):

Alexandros Laios ◽

Angelika Kaufmann ◽

Mohamed Otify ◽

Diederick De Jong ◽

Tim Broadhead ◽

...

Keyword(s):

Machine Learning ◽

Ovarian Cancer ◽

Cytoreductive Surgery ◽

Prediction Accuracy ◽

Advanced Ovarian Cancer ◽

High Grade ◽

Learning Methods ◽

Machine Learning Methods

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Evolution of Machine Learning Methods for Memography Classification

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i3.499502 ◽

2018 ◽

Vol 6 (3) ◽

pp. 499-502

Author(s):

R. Swathi ◽

◽

R. Seshadri ◽

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods

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FORECASTING THREATS AND CHOOSING THE OPTIMAL STRATEGY FOR ENSURING ECONOMIC SECURITY USING MACHINE LEARNING METHODS

Scientific Review Series 1 Economics and Law ◽

10.26653/2076-4650-2019-6-09 ◽

2019 ◽

pp. 115-123

Author(s):

Evgeniy A. Voronin ◽

◽

Igor V. Yushin ◽

Keyword(s):

Machine Learning ◽

Optimal Strategy ◽

Economic Security ◽

Learning Methods ◽

Machine Learning Methods

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A Generalized Approach to Soil Strength Prediction With Machine Learning Methods

10.21236/ada464726 ◽

2006 ◽

Author(s):

Peter M. Semen

Keyword(s):

Machine Learning ◽

Soil Strength ◽

Strength Prediction ◽

Learning Methods ◽

Machine Learning Methods

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Machine Learning Methods for Financial Forecasting: Application to the S&P 500

SSRN Electronic Journal ◽

10.2139/ssrn.2554146 ◽

2006 ◽

Cited By ~ 1

Author(s):

Babak Mahdavi Damghani

Keyword(s):

Machine Learning ◽

Financial Forecasting ◽

Learning Methods ◽

Machine Learning Methods

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