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
  • [31] Chronic kidney disease progression
    Eddy, Allison A.
    Neilson, Eric G.
    JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2006, 17 (11): : 2964 - 2966
  • [32] Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression
    Li-Chen Cheng
    Ya-Han Hu
    Shr-Han Chiou
    Journal of Medical Systems, 2017, 41
  • [33] NONDIALYSIS CHRONIC KIDNEY DISEASE IN 2011 Progression, prediction, populations and possibilities
    Levin, Adeera
    NATURE REVIEWS NEPHROLOGY, 2012, 8 (02) : 70 - 72
  • [34] Progression in chronic kidney disease
    Eddy, AA
    ADVANCES IN CHRONIC KIDNEY DISEASE, 2005, 12 (04) : 353 - 365
  • [35] Prediction models used in the progression of chronic kidney disease: A scoping review
    Lim, David K. E.
    Boyd, James H.
    Thomas, Elizabeth
    Chakera, Aron
    Tippaya, Sawitchaya
    Irish, Ashley
    Manuel, Justin
    Betts, Kim
    Robinson, Suzanne
    PLOS ONE, 2022, 17 (07):
  • [36] Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression
    Cheng, Li-Chen
    Hu, Ya-Han
    Chiou, Shr-Han
    JOURNAL OF MEDICAL SYSTEMS, 2017, 41 (05)
  • [37] Artificial Intelligence for Glaucoma Creating and Implementing Artificial Intelligence for Disease Detection and Progression
    Al-Aswad, Lama A.
    Ramachandran, Rithambara
    Schuman, Joel S.
    Medeiros, Felipe
    Eydelman, Malvina B.
    OPHTHALMOLOGY GLAUCOMA, 2022, 5 (05): : E16 - E25
  • [38] Prediction of the mode of delivery using artificial intelligence algorithms
    Fernandez, Alberto De Ramoen
    Fernandez, Daniel Ruiz
    Sanchez, Maria Teresa Prieto
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 219
  • [39] Application of Artificial Intelligence Algorithms in the Prediction of Heating Load
    Zhao, Dazhou
    Ruan, Huifeng
    Zhang, Zhongping
    2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY AND SUSTAINABLE DEVELOPMENT (GESD 2019), 2019, 2122
  • [40] The Need for Continuous Evaluation of Artificial Intelligence Prediction Algorithms
    Shah, Nigam H.
    Pfeffer, Michael A.
    Ghassemi, Marzyeh
    JAMA NETWORK OPEN, 2024, 7 (09)
12345