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 *

331 related articles for article (PubMed ID: 38184556)

  • 1. Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning.
    Tian Y; Li R; Wang G; Xu K; Li H; He L
    BMC Med Inform Decis Mak; 2024 Jan; 24(1):11. PubMed ID: 38184556
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Establishment and validation of a heart failure risk prediction model for elderly patients after coronary rotational atherectomy based on machine learning.
    Zhang L; Zhou X; Cao J
    PeerJ; 2024; 12():e16867. PubMed ID: 38313005
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
    Zhu M; Hu C; He Y; Qian Y; Tang S; Hu Q; Hao C
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul; 35(7):696-701. PubMed ID: 37545445
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A risk prediction model based on machine learning algorithm for parastomal hernia after permanent colostomy.
    Dai T; Bao M; Zhang M; Wang Z; Tang J; Liu Z
    BMC Med Inform Decis Mak; 2024 Aug; 24(1):224. PubMed ID: 39118122
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation.
    Chen C; Yang D; Gao S; Zhang Y; Chen L; Wang B; Mo Z; Yang Y; Hei Z; Zhou S
    Respir Res; 2021 Mar; 22(1):94. PubMed ID: 33789673
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Application of machine learning model based on XGBoost algorithm in early prediction of patients with acute severe pancreatitis].
    Gao X; Lin J; Wu A; Gu H; Liu X; Yin M; Zhou Z; Zhang R; Xu C; Zhu J
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Apr; 35(4):421-426. PubMed ID: 37308200
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of machine learning model in predicting the likelihood of blood transfusion after hip fracture surgery.
    Chen X; Pan J; Li Y; Tang R
    Aging Clin Exp Res; 2023 Nov; 35(11):2643-2656. PubMed ID: 37733228
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.
    van den Bosch T; Warps AK; de Nerée Tot Babberich MPM; Stamm C; Geerts BF; Vermeulen L; Wouters MWJM; Dekker JWT; Tollenaar RAEM; Tanis PJ; Miedema DM;
    JAMA Netw Open; 2021 Apr; 4(4):e217737. PubMed ID: 33900400
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Correlation between Neutrophil-to-Lymphocyte Ratio and Diabetic Neuropathy in Chinese Adults with Type 2 Diabetes Mellitus Using Machine Learning Methods.
    Zhu L; Liu Y; Zheng B; Dong D; Xie X; Hu L
    Int J Endocrinol; 2024; 2024():7044644. PubMed ID: 39119009
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients.
    Liu Y; Shen W; Tian Z
    Clin Interv Aging; 2023; 18():157-168. PubMed ID: 36789284
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development and validation of machine learning models for postoperative venous thromboembolism prediction in colorectal cancer inpatients: a retrospective study.
    Qin L; Liang Z; Xie J; Ye G; Guan P; Huang Y; Li X
    J Gastrointest Oncol; 2023 Feb; 14(1):220-232. PubMed ID: 36915444
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using Machine Learning Approaches to Predict Short-Term Risk of Cardiotoxicity Among Patients with Colorectal Cancer After Starting Fluoropyrimidine-Based Chemotherapy.
    Li C; Chen L; Chou C; Ngorsuraches S; Qian J
    Cardiovasc Toxicol; 2022 Feb; 22(2):130-140. PubMed ID: 34792740
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Establishing and clinically validating a machine learning model for predicting unplanned reoperation risk in colorectal cancer.
    Cai LQ; Yang DQ; Wang RJ; Huang H; Shi YX
    World J Gastroenterol; 2024 Jun; 30(23):2991-3004. PubMed ID: 38946868
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Establishment of a risk prediction model for olfactory disorders in patients with transnasal pituitary tumors by machine learning.
    Chen M; Li Y; Zhou S; Zou L; Yu L; Deng T; Rong X; Shao S; Wu J
    Sci Rep; 2024 May; 14(1):12514. PubMed ID: 38822064
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
    Shan D; Wang J; Qi P; Lu J; Wang D
    Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction Model of Osteonecrosis of the Femoral Head After Femoral Neck Fracture: Machine Learning-Based Development and Validation Study.
    Wang H; Wu W; Han C; Zheng J; Cai X; Chang S; Shi J; Xu N; Ai Z
    JMIR Med Inform; 2021 Nov; 9(11):e30079. PubMed ID: 34806984
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation.
    Lu YT; Chao HJ; Chiang YC; Chen HY
    J Med Internet Res; 2023 Feb; 25():e43734. PubMed ID: 36749620
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine-learning Models Predict 30-Day Mortality, Cardiovascular Complications, and Respiratory Complications After Aseptic Revision Total Joint Arthroplasty.
    Abraham VM; Booth G; Geiger P; Balazs GC; Goldman A
    Clin Orthop Relat Res; 2022 Nov; 480(11):2137-2145. PubMed ID: 35767804
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.