BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

120 related articles for article (PubMed ID: 38935949)

  • 1. The Application of Machine Learning in Predicting Mortality Risk in Patients With Severe Femoral Neck Fractures: Prediction Model Development Study.
    Xu L; Liu J; Han C; Ai Z
    JMIR Bioinform Biotechnol; 2022 Aug; 3(1):e38226. PubMed ID: 38935949
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. [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]  

  • 4. [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]  

  • 5. The prediction of in-hospital mortality in chronic kidney disease patients with coronary artery disease using machine learning models.
    Ye Z; An S; Gao Y; Xie E; Zhao X; Guo Z; Li Y; Shen N; Ren J; Zheng J
    Eur J Med Res; 2023 Jan; 28(1):33. PubMed ID: 36653875
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of machine learning model to predict lacunar cerebral infarction in elderly patients with femoral neck fracture before surgery.
    Huang CB; Tan K; Wu ZY; Yang L
    BMC Geriatr; 2022 Nov; 22(1):912. PubMed ID: 36443675
    [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 Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database.
    Zhu Y; Zhang J; Wang G; Yao R; Ren C; Chen G; Jin X; Guo J; Liu S; Zheng H; Chen Y; Guo Q; Li L; Du B; Xi X; Li W; Huang H; Li Y; Yu Q
    Front Med (Lausanne); 2021; 8():662340. PubMed ID: 34277655
    [No Abstract]   [Full Text] [Related]  

  • 9. Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit.
    Huang T; Le D; Yuan L; Xu S; Peng X
    PLoS One; 2023; 18(1):e0280606. PubMed ID: 36701342
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.
    Kitcharanant N; Chotiyarnwong P; Tanphiriyakun T; Vanitcharoenkul E; Mahaisavariya C; Boonyaprapa W; Unnanuntana A
    BMC Geriatr; 2022 May; 22(1):451. PubMed ID: 35610589
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Prediction of intensive care unit readmission for critically ill patients based on ensemble learning].
    Lin Y; Wu JY; Lin K; Hu YH; Kong GL
    Beijing Da Xue Xue Bao Yi Xue Ban; 2021 Jun; 53(3):566-572. PubMed ID: 34145862
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. A machine learning-based prediction model for in-hospital mortality among critically ill patients with hip fracture: An internal and external validated study.
    Lei M; Han Z; Wang S; Han T; Fang S; Lin F; Huang T
    Injury; 2023 Feb; 54(2):636-644. PubMed ID: 36414503
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Using machine learning methods to predict in-hospital mortality of sepsis patients in the ICU.
    Kong G; Lin K; Hu Y
    BMC Med Inform Decis Mak; 2020 Oct; 20(1):251. PubMed ID: 33008381
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Development and validation of a prognostic model for patients with sepsis in intensive care unit].
    Jiang Z; Wang H; Wang S; Guan C; Qu Y
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Aug; 35(8):800-806. PubMed ID: 37593856
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. [Establishment and evaluation of early in-hospital death prediction model for patients with acute pancreatitis in intensive care unit].
    Yu L; Zhou X; Li Y; Liu M
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Aug; 35(8):865-869. PubMed ID: 37593868
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis.
    Pattharanitima P; Thongprayoon C; Kaewput W; Qureshi F; Qureshi F; Petnak T; Srivali N; Gembillo G; O'Corragain OA; Chesdachai S; Vallabhajosyula S; Guru PK; Mao MA; Garovic VD; Dillon JJ; Cheungpasitporn W
    J Clin Med; 2021 Oct; 10(21):. PubMed ID: 34768540
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning prediction models and nomogram to predict the risk of in-hospital death for severe DKA: A clinical study based on MIMIC-IV, eICU databases, and a college hospital ICU.
    Xie W; Li Y; Meng X; Zhao M
    Int J Med Inform; 2023 Jun; 174():105049. PubMed ID: 37001474
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.