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 *

470 related articles for article (PubMed ID: 37077747)

  • 21. Machine learning models for mortality prediction in critically ill patients with acute pancreatitis-associated acute kidney injury.
    Liu Y; Zhu X; Xue J; Maimaitituerxun R; Chen W; Dai W
    Clin Kidney J; 2024 Oct; 17(10):sfae284. PubMed ID: 39385947
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit.
    Zhuang J; Huang H; Jiang S; Liang J; Liu Y; Yu X
    BMC Med Inform Decis Mak; 2023 Sep; 23(1):185. PubMed ID: 37715194
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Mortality prediction for patients with acute respiratory distress syndrome based on machine learning: a population-based study.
    Huang B; Liang D; Zou R; Yu X; Dan G; Huang H; Liu H; Liu Y
    Ann Transl Med; 2021 May; 9(9):794. PubMed ID: 34268407
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients.
    Wang K; Yan LZ; Li WZ; Jiang C; Wang NN; Zheng Q; Dong NG; Shi JW
    Front Cardiovasc Med; 2022; 9():863642. PubMed ID: 35800164
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Development and Validation of Machine Learning Models for Real-Time Mortality Prediction in Critically Ill Patients With Sepsis-Associated Acute Kidney Injury.
    Luo XQ; Yan P; Duan SB; Kang YX; Deng YH; Liu Q; Wu T; Wu X
    Front Med (Lausanne); 2022; 9():853102. PubMed ID: 35783603
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A machine learning-based risk stratification tool for in-hospital mortality of intensive care unit patients with heart failure.
    Luo C; Zhu Y; Zhu Z; Li R; Chen G; Wang Z
    J Transl Med; 2022 Mar; 20(1):136. PubMed ID: 35303896
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation.
    Liu X; Hu P; Yeung W; Zhang Z; Ho V; Liu C; Dumontier C; Thoral PJ; Mao Z; Cao D; Mark RG; Zhang Z; Feng M; Li D; Celi LA
    Lancet Digit Health; 2023 Oct; 5(10):e657-e667. PubMed ID: 37599147
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers.
    Zhang G; Shao F; Yuan W; Wu J; Qi X; Gao J; Shao R; Tang Z; Wang T
    Eur J Med Res; 2024 Mar; 29(1):156. PubMed ID: 38448999
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Interpretable machine learning model for early prediction of delirium in elderly patients following intensive care unit admission: a derivation and validation study.
    Tang D; Ma C; Xu Y
    Front Med (Lausanne); 2024; 11():1399848. PubMed ID: 38828233
    [TBL] [Abstract][Full Text] [Related]  

  • 32. An interpretable machine learning model for predicting 28-day mortality in patients with sepsis-associated liver injury.
    Wen C; Zhang X; Li Y; Xiao W; Hu Q; Lei X; Xu T; Liang S; Gao X; Zhang C; Yu Z; Lü M
    PLoS One; 2024; 19(5):e0303469. PubMed ID: 38768153
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis.
    Zeng Z; Yao S; Zheng J; Gong X
    BioData Min; 2021 Aug; 14(1):40. PubMed ID: 34399809
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Explainable machine learning and online calculators to predict heart failure mortality in intensive care units.
    Chen AT; Zhang Y; Zhang J
    ESC Heart Fail; 2024 Sep; ():. PubMed ID: 39300773
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Machine learning-based risk prediction of malignant arrhythmia in hospitalized patients with heart failure.
    Wang Q; Li B; Chen K; Yu F; Su H; Hu K; Liu Z; Wu G; Yan J; Su G
    ESC Heart Fail; 2021 Dec; 8(6):5363-5371. PubMed ID: 34585531
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. 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]  

  • 38. 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]  

  • 39. Novel pneumonia score based on a machine learning model for predicting mortality in pneumonia patients on admission to the intensive care unit.
    Wang B; Li Y; Tian Y; Ju C; Xu X; Pei S
    Respir Med; 2023 Oct; 217():107363. PubMed ID: 37451647
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 24.