PREDICTION OF CHRONIC KIDNEY DISEASE PROGRESSSION WITH ARTIFICIAL INTELLIGENCE: A CHALLENGE WITHIN OUR REACH

被引：0
|
作者：
Galles, Oscar [1 ]
Rodriguez, Miriam Caravaca [1 ]
Suppi, Remo [2 ]
Macias, Edwar [3 ]
Morelim, Antoni [4 ]
Comas, Jordi [5 ]
Martinez, Elisenda [6 ]
Salas, Tomas [6 ]
Ibeas, Jose [1 ,7 ]
机构：
[1] Parc Tauli Univ Hosp, Inst Res & Innovat Parc, Clin Intervent & Computat Nephrol, Barcelona, Spain
[2] Univ Aulonoma Barcelona, Sch Engn, Comp Architecture & Operating Syst, Barcelona, Spain
[3] Univ Autonoma Barcelona, Sch Engn, Barcelona, Spain
[4] Univ Autonoma Barcelona, Sch Engn, Telecommunicat & Syst Engn, Barcelona, Spain
[5] Catalan Transplantat Org OCATT, Hlth Dept, Barcelona, Spain
[6] Hlth Qual & Assessment Agcy Catalonia AQuAS, Barcelona, Spain
[7] Univ Autonoma Barcelona, Pare Tauli Univ Hosp, Nephrol, Barcelona, Spain
来源：
NEPHROLOGY DIALYSIS TRANSPLANTATION | 2023年 / 38卷
关键词：
D O I：
暂无
中图分类号：
R3 [基础医学]; R4 [临床医学];
学科分类号：
1001 ; 1002 ; 100602 ;
摘要：
4640
引用
收藏
页码：I482 / I483
页数：3
相关论文
共 50 条
  • [1] 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
  • [2] 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
  • [3] Correction to: Prediction of chronic kidney disease and its progression by artificial intelligence algorithms
    Francesco Paolo Schena
    Vito Walter Anelli
    Daniela Isabel Abbrescia
    Tommaso Di Noia
    Journal of Nephrology, 2022, 35 : 2171 - 2171
  • [4] 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)
  • [5] 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)
  • [6] Artificial Intelligence for Risk Prediction of End-Stage Renal Disease in Sepsis Survivors with Chronic Kidney Disease
    Lee, Kuo-Hua
    Chu, Yuan-Chia
    Tsai, Ming-Tsun
    Tseng, Wei-Cheng
    Lin, Yao-Ping
    Ou, Shuo-Ming
    Tarng, Der-Cherng
    BIOMEDICINES, 2022, 10 (03)
  • [7] Humanised infrastructure in the ICU. A challenge within our reach
    Gomez-Tello, V.
    Ferrero, M.
    ENFERMERIA INTENSIVA, 2016, 27 (04): : 135 - 137
  • [8] Application of artificial intelligence to chronic kidney disease mineral bone disorder
    Lederer, Eleanor D.
    Sobh, Mahmoud M.
    Brier, Michael E.
    Gaweda, Adam E.
    CLINICAL KIDNEY JOURNAL, 2024, 17 (06)
  • [9] Role of artificial intelligence in the diagnosis and management of kidney disease: applications to chronic kidney disease and acute kidney injury
    Tangri, Navdeep
    Ferguson, Thomas W.
    CURRENT OPINION IN NEPHROLOGY AND HYPERTENSION, 2022, 31 (03): : 283 - 287
  • [10] Revolutionizing Chronic Kidney Disease Management with Machine Learning and Artificial Intelligence
    Krisanapan, Pajaree
    Tangpanithandee, Supawit
    Thongprayoon, Charat
    Pattharanitima, Pattharawin
    Cheungpasitporn, Wisit
    JOURNAL OF CLINICAL MEDICINE, 2023, 12 (08)
12345