BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

334 related articles for article (PubMed ID: 35959132)

  • 1. Prediction of acute kidney injury in patients with femoral neck fracture utilizing machine learning.
    Liu J; Xu L; Zhu E; Han C; Ai Z
    Front Surg; 2022; 9():928750. PubMed ID: 35959132
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Congestive Heart Failure.
    Peng X; Li L; Wang X; Zhang H
    Front Cardiovasc Med; 2022; 9():842873. PubMed ID: 35310995
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting acute kidney injury risk in acute myocardial infarction patients: An artificial intelligence model using medical information mart for intensive care databases.
    Cai D; Xiao T; Zou A; Mao L; Chi B; Wang Y; Wang Q; Ji Y; Sun L
    Front Cardiovasc Med; 2022; 9():964894. PubMed ID: 36158815
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning-based prediction model of acute kidney injury in patients with acute respiratory distress syndrome.
    Wei S; Zhang Y; Dong H; Chen Y; Wang X; Zhu X; Zhang G; Guo S
    BMC Pulm Med; 2023 Oct; 23(1):370. PubMed ID: 37789305
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Explainable ensemble machine learning model for prediction of 28-day mortality risk in patients with sepsis-associated acute kidney injury.
    Yang J; Peng H; Luo Y; Zhu T; Xie L
    Front Med (Lausanne); 2023; 10():1165129. PubMed ID: 37275353
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation.
    Zhou S; Lu Z; Liu Y; Wang M; Zhou W; Cui X; Zhang J; Xiao W; Hua T; Zhu H; Yang M
    Eur J Med Res; 2024 Jan; 29(1):14. PubMed ID: 38172962
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Incorporating intraoperative blood pressure time-series variables to assist in prediction of acute kidney injury after type a acute aortic dissection repair: an interpretable machine learning model.
    Dai A; Zhou Z; Jiang F; Guo Y; Asante DO; Feng Y; Huang K; Chen C; Shi H; Si Y; Zou J
    Ann Med; 2023; 55(2):2266458. PubMed ID: 37813109
    [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. 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. [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]  

  • 14. Significance of platelets in the early warning of new-onset AKI in the ICU by using supervise learning: a retrospective analysis.
    Pan P; Liu Y; Xie F; Duan Z; Li L; Gu H; Xie L; Lu X; Su L
    Ren Fail; 2023 Dec; 45(1):2194433. PubMed ID: 37013397
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach.
    Fan Z; Jiang J; Xiao C; Chen Y; Xia Q; Wang J; Fang M; Wu Z; Chen F
    J Transl Med; 2023 Jun; 21(1):406. PubMed ID: 37349774
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study.
    Persson I; Grünwald A; Morvan L; Becedas D; Arlbrandt M
    JMIR Form Res; 2023 Dec; 7():e45979. PubMed ID: 38096015
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Machine learning for the prediction of all-cause mortality in patients with sepsis-associated acute kidney injury during hospitalization.
    Zhou H; Liu L; Zhao Q; Jin X; Peng Z; Wang W; Huang L; Xie Y; Xu H; Tao L; Xiao X; Nie W; Liu F; Li L; Yuan Q
    Front Immunol; 2023; 14():1140755. PubMed ID: 37077912
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 17.