Correction to: Prediction of chronic kidney disease and its progression by artificial intelligence algorithms

被引:0
|
作者
Francesco Paolo Schena
Vito Walter Anelli
Daniela Isabel Abbrescia
Tommaso Di Noia
机构
[1] University of Bari,Department of Emergency and Organ Transplants
[2] Polytechnic of Bari,Department of Electrical and Information Engineering
[3] Schena Foundation,undefined
来源
Journal of Nephrology | 2022年 / 35卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2171 / 2171
相关论文
共 50 条
  • [1] Prediction of chronic kidney disease and its progression by artificial intelligence algorithms
    Schena, Francesco Paolo
    Anelli, Vito Walter
    Abbrescia, Daniela Isabel
    Di Noia, Tommaso
    JOURNAL OF NEPHROLOGY, 2022, 35 (08) : 1953 - 1971
  • [2] Predicting chronic kidney disease progression with artificial intelligence
    Isaza-Ruget, Mario A.
    Yomayusa, Nancy
    Gonzalez, Camilo A.
    Alvarado, H. Catherine
    de Oro, V. Fabio A.
    Cely, Andres
    Murcia, Jossie
    Gonzalez-Velez, Abel
    Robayo, Adriana
    Colmenares-Mejia, Claudia C.
    Castillo, Andrea
    Conde, Maria I.
    BMC NEPHROLOGY, 2024, 25 (01)
  • [3] Artificial Intelligence to Predict Chronic Kidney Disease Progression to Kidney Failure: A Narrative Review
    Miller, Zane A.
    Dwyer, Karen
    NEPHROLOGY, 2025, 30 (01)
  • [4] Artificial Intelligence-Based Chronic Kidney Disease Prediction—A Review
    Amaresh, A.M.
    Meenakshi Sundaram, A.
    Lecture Notes in Networks and Systems, 2023, 587 : 229 - 238
  • [5] Artificial intelligence and liver transplantation: post-transplantation chronic kidney disease prediction
    Carrier, Paul
    Loustaud-Ratti, Veronique
    Debette-Gratien, Maryline
    Maurel, Pauline
    Premaud, Aurelie
    Rousseau, Annick
    Marie, Essig
    Rigaud, Celine
    Silvain, Christine
    Causse, Xavier
    Marquet, Pierre
    Salame, Ephrem
    Woillard, Jean-Baptiste
    JOURNAL OF HEPATOLOGY, 2024, 80 : S387 - S387
  • [6] Risk Prediction Model for Chronic Kidney Disease in Thailand Using Artificial Intelligence and SHAP
    Tsai, Ming-Che
    Lojanapiwat, Bannakij
    Chang, Chi-Chang
    Noppakun, Kajohnsak
    Khumrin, Piyapong
    Li, Ssu-Hui
    Lee, Chih-Ying
    Lee, Hsi-Chieh
    Khwanngern, Krit
    DIAGNOSTICS, 2023, 13 (23)
  • [7] PREDICTION OF CHRONIC KIDNEY DISEASE PROGRESSSION WITH ARTIFICIAL INTELLIGENCE: A CHALLENGE WITHIN OUR REACH
    Galles, Oscar
    Rodriguez, Miriam Caravaca
    Suppi, Remo
    Macias, Edwar
    Morelim, Antoni
    Comas, Jordi
    Martinez, Elisenda
    Salas, Tomas
    Ibeas, Jose
    NEPHROLOGY DIALYSIS TRANSPLANTATION, 2023, 38 : I482 - I483
  • [8] Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches
    Khalid, Fizza
    Alsadoun, Lara
    Khilji, Faria
    Mushtaq, Maham
    Eze-odurukwe, Anthony
    Mushtaq, Muhammad Muaz
    Ali, Husnain
    Farman, Rana Omer
    Ali, Syed Momin
    Fatima, Rida
    Bokhari, Syed Faqeer Hussain
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (05)
  • [9] Development of Artificial Intelligence Systems for Chronic Kidney Disease
    Kanda, Eiichiro
    JMA JOURNAL, 2025, 8 (01): : 48 - 56
  • [10] Validation of Artificial Intelligence ( AI)-Based Kidney Disease Progression Prediction (KDPP) Models in the US Population
    Kuo Chin-Chi
    Chen Yichun
    Chang Yi-Ching
    Lin Yu-Ting
    Arya, Priyanka
    Aguilar, Ricardo
    Jain, Arsh
    JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2024, 35 (10):