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 *

125 related articles for article (PubMed ID: 39070075)

  • 1. Comparative Analysis of Logistic Regression, Gradient Boosted Trees, SVM, and Random Forest Algorithms for Prediction of Acute Kidney Injury Requiring Dialysis After Cardiac Surgery.
    Omar ED; Mat H; Abd Karim AZ; Sanaudi R; Ibrahim FH; Omar MA; Ismail MZH; Jayaraj VJ; Goh BL
    Int J Nephrol Renovasc Dis; 2024; 17():197-204. PubMed ID: 39070075
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
    Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of four machine learning models for signal detection.
    Dauner DG; Leal E; Adam TJ; Zhang R; Farley JF
    Ther Adv Drug Saf; 2023; 14():20420986231219472. PubMed ID: 38157242
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. [Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].
    Xie Z; Jin J; Liu D; Lu S; Yu H; Han D; Sun W; Huang M
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Apr; 36(4):345-352. PubMed ID: 38813626
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of Acute Kidney Injury in Intracerebral Hemorrhage Patients Using Machine Learning.
    She S; Shen Y; Luo K; Zhang X; Luo C
    Neuropsychiatr Dis Treat; 2023; 19():2765-2773. PubMed ID: 38106359
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records.
    Li Q; Li J; Chen J; Zhao X; Zhuang J; Zhong G; Song Y; Lei L
    BMC Cardiovasc Disord; 2024 Jan; 24(1):56. PubMed ID: 38238677
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Which supervised machine learning algorithm can best predict achievement of minimum clinically important difference in neck pain after surgery in patients with cervical myelopathy? A QOD study.
    Park C; Mummaneni PV; Gottfried ON; Shaffrey CI; Tang AJ; Bisson EF; Asher AL; Coric D; Potts EA; Foley KT; Wang MY; Fu KM; Virk MS; Knightly JJ; Meyer S; Park P; Upadhyaya C; Shaffrey ME; Buchholz AL; Tumialán LM; Turner JD; Sherrod BA; Agarwal N; Chou D; Haid RW; Bydon M; Chan AK
    Neurosurg Focus; 2023 Jun; 54(6):E5. PubMed ID: 37283449
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study.
    Xie W; Ji C; Hao T; Chow CY
    JMIR Med Inform; 2021 Oct; 9(10):e25110. PubMed ID: 34698644
    [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. 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]  

  • 12. Predicting conversion of ambulatory ACDF patients to inpatient: a machine learning approach.
    Schönnagel L; Tani S; Vu-Han TL; Zhu J; Camino-Willhuber G; Dodo Y; Caffard T; Chiapparelli E; Oezel L; Shue J; Zelenty WD; Lebl DR; Cammisa FP; Girardi FP; Sokunbi G; Hughes AP; Sama AA
    Spine J; 2024 Apr; 24(4):563-571. PubMed ID: 37980960
    [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. 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]  

  • 15. Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation.
    Liu L; Bi B; Cao L; Gui M; Ju F
    Front Endocrinol (Lausanne); 2024; 15():1320335. PubMed ID: 38481447
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. Machine learning constructs a diagnostic prediction model for calculous pyonephrosis.
    Yang B; Zhong J; Yang Y; Xu J; Liu H; Liu J
    Urolithiasis; 2024 Jun; 52(1):96. PubMed ID: 38896174
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A novel explainable online calculator for contrast-induced AKI in diabetics: a multi-centre validation and prospective evaluation study.
    Ma M; Wan X; Chen Y; Lu Z; Guo D; Kong H; Pan B; Zhang H; Chen D; Xu D; Sun D; Lang H; Zhou C; Li T; Cao C
    J Transl Med; 2023 Jul; 21(1):517. PubMed ID: 37525240
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.