BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

346 related articles for article (PubMed ID: 30282956)

  • 1. Derivation and Validation of Machine Learning Approaches to Predict Acute Kidney Injury after Cardiac Surgery.
    Lee HC; Yoon HK; Nam K; Cho YJ; Kim TK; Kim WH; Bahk JH
    J Clin Med; 2018 Oct; 7(10):. PubMed ID: 30282956
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model.
    Lee HC; Yoon SB; Yang SM; Kim WH; Ryu HG; Jung CW; Suh KS; Lee KH
    J Clin Med; 2018 Nov; 7(11):. PubMed ID: 30413107
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using Machine Learning to Predict Acute Kidney Injury After Aortic Arch Surgery.
    Lei G; Wang G; Zhang C; Chen Y; Yang X
    J Cardiothorac Vasc Anesth; 2020 Dec; 34(12):3321-3328. PubMed ID: 32636105
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. [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]  

  • 7. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
    Tang CQ; Li JQ; Xu DY; Liu XB; Hou WJ; Lyu KY; Xiao SC; Xia ZF
    Zhonghua Shao Shang Za Zhi; 2018 Jun; 34(6):343-348. PubMed ID: 29961290
    [No Abstract]   [Full Text] [Related]  

  • 8. An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation.
    Zhang Y; Yang D; Liu Z; Chen C; Ge M; Li X; Luo T; Wu Z; Shi C; Wang B; Huang X; Zhang X; Zhou S; Hei Z
    J Transl Med; 2021 Jul; 19(1):321. PubMed ID: 34321016
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning in the prediction of cardiac surgery associated acute kidney injury with early postoperative biomarkers.
    Fan R; Qin W; Zhang H; Guan L; Wang W; Li J; Chen W; Huang F; Zhang H; Chen X
    Front Surg; 2023; 10():1048431. PubMed ID: 36824496
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of machine learning models for predicting acute kidney injury following donation after cardiac death liver transplantation.
    He ZL; Zhou JB; Liu ZK; Dong SY; Zhang YT; Shen T; Zheng SS; Xu X
    Hepatobiliary Pancreat Dis Int; 2021 Jun; 20(3):222-231. PubMed ID: 33726966
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Risk Stratification for Postoperative Acute Kidney Injury in Major Noncardiac Surgery Using Preoperative and Intraoperative Data.
    Lei VJ; Luong T; Shan E; Chen X; Neuman MD; Eneanya ND; Polsky DE; Volpp KG; Fleisher LA; Holmes JH; Navathe AS
    JAMA Netw Open; 2019 Dec; 2(12):e1916921. PubMed ID: 31808922
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning in predicting cardiac surgery-associated acute kidney injury: A systemic review and meta-analysis.
    Song Z; Yang Z; Hou M; Shi X
    Front Cardiovasc Med; 2022; 9():951881. PubMed ID: 36186995
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.
    Hsu CN; Liu CL; Tain YL; Kuo CY; Lin YC
    J Med Internet Res; 2020 Aug; 22(8):e16903. PubMed ID: 32749223
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Parsimonious machine learning models to predict resource use in cardiac surgery across a statewide collaborative.
    Verma A; Sanaiha Y; Hadaya J; Maltagliati AJ; Tran Z; Ramezani R; Shemin RJ; Benharash P;
    JTCVS Open; 2022 Sep; 11():214-228. PubMed ID: 36172420
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Explainable Preoperative Automated Machine Learning Prediction Model for Cardiac Surgery-Associated Acute Kidney Injury.
    Thongprayoon C; Pattharanitima P; Kattah AG; Mao MA; Keddis MT; Dillon JJ; Kaewput W; Tangpanithandee S; Krisanapan P; Qureshi F; Cheungpasitporn W
    J Clin Med; 2022 Oct; 11(21):. PubMed ID: 36362493
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis.
    Luo XQ; Yan P; Zhang NY; Luo B; Wang M; Deng YH; Wu T; Wu X; Liu Q; Wang HS; Wang L; Kang YX; Duan SB
    Sci Rep; 2021 Oct; 11(1):20269. PubMed ID: 34642418
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Machine learning for the prediction of acute kidney injury in patients after cardiac surgery.
    Xue X; Liu Z; Xue T; Chen W; Chen X
    Front Surg; 2022; 9():946610. PubMed ID: 36157418
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of Machine-Learning Models to Predict Ambulation Outcomes Following Spinal Metastasis Surgery.
    Chavalparit P; Wilartratsami S; Santipas B; Ittichaiwong P; Veerakanjana K; Luksanapruksa P
    Asian Spine J; 2023 Dec; 17(6):1013-1023. PubMed ID: 38050361
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.