These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

255 related articles for article (PubMed ID: 37996844)

  • 1. Machine-learning predictions for acute kidney injuries after coronary artery bypass grafting: a real-life muticenter retrospective cohort study.
    Jia T; Xu K; Bai Y; Lv M; Shan L; Li W; Zhang X; Li Z; Wang Z; Zhao X; Li M; Zhang Y
    BMC Med Inform Decis Mak; 2023 Nov; 23(1):270. PubMed ID: 37996844
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning-Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study.
    Luo XQ; Kang YX; Duan SB; Yan P; Song GB; Zhang NY; Yang SK; Li JX; Zhang H
    J Med Internet Res; 2023 Jan; 25():e41142. PubMed ID: 36603200
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel nomogram to predict perioperative acute kidney injury following isolated coronary artery bypass grafting surgery with impaired left ventricular ejection fraction.
    Lin H; Hou J; Tang H; Chen K; Sun H; Zheng Z; Hu S
    BMC Cardiovasc Disord; 2020 Dec; 20(1):517. PubMed ID: 33302875
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning in risk prediction of continuous renal replacement therapy after coronary artery bypass grafting surgery in patients.
    Zhang Q; Zheng P; Hong Z; Li L; Liu N; Bian Z; Chen X; Wu H; Zhao S
    Clin Exp Nephrol; 2024 Aug; 28(8):811-821. PubMed ID: 38536563
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An interpretable machine learning model to predict off-pump coronary artery bypass grafting-associated acute kidney injury.
    Zeng Z; Tian X; Li L; Diao Y; Zhang T
    Adv Clin Exp Med; 2024 May; 33(5):473-481. PubMed ID: 37593773
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of contemporary preoperative risk models at predicting acute kidney injury after isolated coronary artery bypass grafting: a retrospective cohort study.
    Chen SW; Chang CH; Fan PC; Chen YC; Chu PH; Chen TH; Wu VC; Chang SW; Lin PJ; Tsai FC
    BMJ Open; 2016 Jun; 6(6):e010176. PubMed ID: 27354068
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control Study.
    Xu L; Li C; Gao S; Zhao L; Guan C; Shen X; Zhu Z; Guo C; Zhang L; Yang C; Bu Q; Zhou B; Xu Y
    JMIR Med Inform; 2024 Sep; 12():e52837. PubMed ID: 39303280
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction model of acute kidney injury after different types of acute aortic dissection based on machine learning.
    Xinsai L; Zhengye W; Xuan H; Xueqian C; Kai P; Sisi C; Xuyan J; Suhua L
    Front Cardiovasc Med; 2022; 9():984772. PubMed ID: 36211563
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study.
    Li M; Han S; Liang F; Hu C; Zhang B; Hou Q; Zhao S
    J Med Internet Res; 2024 May; 26():e51354. PubMed ID: 38691403
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of the development of acute kidney injury following cardiac surgery by machine learning.
    Tseng PY; Chen YT; Wang CH; Chiu KM; Peng YS; Hsu SP; Chen KL; Yang CY; Lee OK
    Crit Care; 2020 Jul; 24(1):478. PubMed ID: 32736589
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Comparison of machine learning and Logistic regression model in predicting acute kidney injury after cardiac surgery: data analysis based on MIMIC-III database].
    Xiong W; Zhang L; She K; Xu G; Bai S; Liu X
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Nov; 34(11):1188-1193. PubMed ID: 36567564
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of interpretable machine learning models for prediction of acute kidney injury after noncardiac surgery: a retrospective cohort study.
    Sun R; Li S; Wei Y; Hu L; Xu Q; Zhan G; Yan X; He Y; Wang Y; Li X; Luo A; Zhou Z
    Int J Surg; 2024 May; 110(5):2950-2962. PubMed ID: 38445452
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning model-based risk prediction of severe complications after off-pump coronary artery bypass grafting.
    Zhang Y; Li L; Li Y; Zeng Z
    Adv Clin Exp Med; 2023 Feb; 32(2):185-194. PubMed ID: 36226692
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning-based prediction of off-pump coronary artery bypass grafting-associated acute kidney injury.
    Song Y; Zhai W; Ma S; Wu Y; Ren M; Van den Eynde J; Nardi P; Pang PYK; Ali JM; Han J; Guo Z
    J Thorac Dis; 2024 Jul; 16(7):4535-4542. PubMed ID: 39144311
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of acute kidney injury following coronary artery bypass graft surgery in elderly Chinese population.
    Peng W; Yang B; Qiao H; Liu Y; Lin Y
    J Cardiothorac Surg; 2023 Oct; 18(1):287. PubMed ID: 37817194
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of acute kidney injury risk after cardiac surgery: using a hybrid machine learning algorithm.
    Petrosyan Y; Mesana TG; Sun LY
    BMC Med Inform Decis Mak; 2022 May; 22(1):137. PubMed ID: 35585624
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of Acute Kidney Injury after Extracorporeal Cardiac Surgery (CSA-AKI) by Machine Learning Algorithms.
    Tong Y; Niu X; Liu F
    Heart Surg Forum; 2023 Oct; 26(5):E537-E551. PubMed ID: 37920093
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction model for acute kidney injury after coronary artery bypass grafting: a retrospective study.
    Yue Z; Yan-Meng G; Ji-Zhuang L
    Int Urol Nephrol; 2019 Sep; 51(9):1605-1611. PubMed ID: 31161519
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A simple machine learning model for the prediction of acute kidney injury following noncardiac surgery in geriatric patients: a prospective cohort study.
    Peng X; Zhu T; Chen Q; Zhang Y; Zhou R; Li K; Hao X
    BMC Geriatr; 2024 Jun; 24(1):549. PubMed ID: 38918723
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interpretable machine learning models for early prediction of acute kidney injury after cardiac surgery.
    Jiang J; Liu X; Cheng Z; Liu Q; Xing W
    BMC Nephrol; 2023 Nov; 24(1):326. PubMed ID: 37936067
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.