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.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

539 related items for PubMed ID: 38109177

  • 1. Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study.
    Liu J, Chen J, Dong Y, Lou Y, Tian Y, Sun H, Jin Y, Li J, Qiu Y.
    J Med Internet Res; 2023 Dec 18; 25():e45515. PubMed ID: 38109177
    [Abstract] [Full Text] [Related]

  • 2. [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 18; 36(4):345-352. PubMed ID: 38813626
    [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 18; 35(7):696-701. PubMed ID: 37545445
    [Abstract] [Full Text] [Related]

  • 4. Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage.
    Geng Z, Yang C, Zhao Z, Yan Y, Guo T, Liu C, Wu A, Wu X, Wei L, Tian Y, Hu P, Wang K.
    J Transl Med; 2024 Mar 04; 22(1):236. PubMed ID: 38439097
    [Abstract] [Full Text] [Related]

  • 5. 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 19; 52(1):96. PubMed ID: 38896174
    [Abstract] [Full Text] [Related]

  • 6. Prediction and feature selection of low birth weight using machine learning algorithms.
    Reza TB, Salma N.
    J Health Popul Nutr; 2024 Oct 12; 43(1):157. PubMed ID: 39396025
    [Abstract] [Full Text] [Related]

  • 7. Develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy.
    Zou XC, Luo CW, Yuan RM, Jin MN, Zeng T, Chao HC.
    Urolithiasis; 2024 Apr 13; 52(1):64. PubMed ID: 38613668
    [Abstract] [Full Text] [Related]

  • 8. Construction of a risk prediction model for lung infection after chemotherapy in lung cancer patients based on the machine learning algorithm.
    Sun T, Liu J, Yuan H, Li X, Yan H.
    Front Oncol; 2024 Apr 13; 14():1403392. PubMed ID: 39184040
    [Abstract] [Full Text] [Related]

  • 9.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 10. 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 13; 35(11):2643-2656. PubMed ID: 37733228
    [Abstract] [Full Text] [Related]

  • 11.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

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

  • 13. Machine learning models for predicting critical illness risk in hospitalized patients with COVID-19 pneumonia.
    Liu Q, Pang B, Li H, Zhang B, Liu Y, Lai L, Le W, Li J, Xia T, Zhang X, Ou C, Ma J, Li S, Guo X, Zhang S, Zhang Q, Jiang M, Zeng Q.
    J Thorac Dis; 2021 Feb 16; 13(2):1215-1229. PubMed ID: 33717594
    [Abstract] [Full Text] [Related]

  • 14. Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning.
    Sun Y, He Z, Ren J, Wu Y.
    BMC Anesthesiol; 2023 May 25; 23(1):178. PubMed ID: 37231340
    [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 May 25; 15():1320335. PubMed ID: 38481447
    [Abstract] [Full Text] [Related]

  • 16.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 17.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 18. A computed tomography urography-based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma.
    Zheng Y, Shi H, Fu S, Wang H, Wang J, Li X, Li Z, Hai B, Zhang J.
    Cancer Med; 2024 Jan 25; 13(1):e6901. PubMed ID: 38174830
    [Abstract] [Full Text] [Related]

  • 19.
    ; . PubMed ID:
    [No Abstract] [Full Text] [Related]

  • 20. Comparison of Conventional Logistic Regression and Machine Learning Methods for Predicting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage: A Multicentric Observational Cohort Study.
    Hu P, Li Y, Liu Y, Guo G, Gao X, Su Z, Wang L, Deng G, Yang S, Qi Y, Xu Y, Ye L, Sun Q, Nie X, Sun Y, Li M, Zhang H, Chen Q.
    Front Aging Neurosci; 2022 Jan 25; 14():857521. PubMed ID: 35783143
    [Abstract] [Full Text] [Related]

    Page: [Next] [New Search]
    of 27.