Prediction of Kidney Graft Rejection Using Artificial Neural Network.

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Prediction of Kidney Graft Rejection Using Artificial Neural Network.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年学术文章

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2017年學術文章

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2017年學術文章

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Prediction of Kidney Graft Rejection Using Artificial Neural Network.

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Prediction of Kidney Graft Rejection Using Artificial Neural Network.

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Prediction of Kidney Graft Rejection Using Artificial Neural Network.

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Prediction of Kidney Graft Rejection Using Artificial Neural Network.

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Prediction of Kidney Graft Rejection Using Artificial Neural Network.

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Prediction of Kidney Graft Rejection Using Artificial Neural Network.

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P1476

Prediction of Kidney Graft Rejection Using Artificial Neural Network.

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P2093

Jalal Poorolajal

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Omid Hamidi

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Payam Amini

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P2860

Random Forests

Vitamin D and kidney transplant outcomes: a protocol for a systematic review and meta-analysis

Real-data comparison of data mining methods in prediction of diabetes in iran.

Telomere length of recipients and living kidney donors and chronic graft dysfunction in kidney transplants.

Comparison of artificial neural network and logistic regression models for predicting in-hospital mortality after primary liver cancer surgery.

How can we achieve global equity in provision of renal replacement therapy?

Machine-Learning Algorithms Predict Graft Failure After Liver Transplantation.

Two models for outcome prediction - a comparison of logistic regression and neural networks.

Commercial kidney transplantation is an important risk factor in long-term kidney allograft survival.

Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes.

P304

277-284

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P31

scholarly article

P356

10.4258/HIR.2017.23.4.277

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P433

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P478

http://www.w3.org/2001/XMLSchema#string

P50

Leili Tapak

P577

2017-10-31T00:00:00Z

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P698

29181237

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P932

5688027

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