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 *

148 related articles for article (PubMed ID: 38802838)

  • 1. Predictive models for delay in medical decision-making among older patients with acute ischemic stroke: a comparative study using logistic regression analysis and lightGBM algorithm.
    Sheng Z; Kuang J; Yang L; Wang G; Gu C; Qi Y; Wang R; Han Y; Li J; Wang X
    BMC Public Health; 2024 May; 24(1):1413. PubMed ID: 38802838
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Influencing factors for decision-making delay in seeking medical care among acute ischemic stroke patients in rural areas.
    Zhang B; Sun Q; Lv Y; Sun T; Zhao W; Yan R; Guo Y
    Patient Educ Couns; 2023 Mar; 108():107614. PubMed ID: 36603468
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Prediction Models for High-Risk Population of Stroke Based on Logistic Regressive Analysis and Lightgbm Algorithm Separately.
    Xue Y; Chen S; Zhang M; Cai X; Zheng J; Wang S; Chen Y
    Iran J Public Health; 2022 May; 51(5):999-1009. PubMed ID: 36407747
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning is a valid method for predicting prehospital delay after acute ischemic stroke.
    Yang L; Liu Q; Zhao Q; Zhu X; Wang L
    Brain Behav; 2020 Oct; 10(10):e01794. PubMed ID: 32812396
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
    Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
    J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine Learning-Based Clinical Prediction Models for Acute Ischemic Stroke Based on Serum Xanthine Oxidase Levels.
    Chen X; Zeng Q; Tao L; Yuan J; Hang J; Lu G; Shao J; Li Y; Yu H
    World Neurosurg; 2024 Apr; 184():e695-e707. PubMed ID: 38340801
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics.
    Liu J; Wu Y; Jia W; Han M; Chen Y; Li J; Wu B; Yin S; Zhang X; Chen J; Yu P; Luo H; Tu J; Zhou F; Cheng X; Yi Y
    Front Neurosci; 2023; 17():1110579. PubMed ID: 37214402
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Presurgical Unfavorable Prediction Scale of Endovascular Treatment for Acute Ischemic Stroke.
    Li J; Zhu W; Zhou J; Yun W; Li X; Guan Q; Lv W; Cheng Y; Ni H; Xie Z; Li M; Zhang L; Xu Y; Zhang Q
    Front Aging Neurosci; 2022; 14():942285. PubMed ID: 35847671
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. LightGBM outperforms other machine learning techniques in predicting graft failure after liver transplantation: Creation of a predictive model through large-scale analysis.
    Yanagawa R; Iwadoh K; Akabane M; Imaoka Y; Bozhilov KK; Melcher ML; Sasaki K
    Clin Transplant; 2024 Apr; 38(4):e15316. PubMed ID: 38607291
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Time-to-event prediction analysis of patients with chronic heart failure comorbid with atrial fibrillation: a LightGBM model.
    Zheng C; Tian J; Wang K; Han L; Yang H; Ren J; Li C; Zhang Q; Han Q; Zhang Y
    BMC Cardiovasc Disord; 2021 Aug; 21(1):379. PubMed ID: 34348648
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction Models for AKI in ICU: A Comparative Study.
    Qian Q; Wu J; Wang J; Sun H; Yang L
    Int J Gen Med; 2021; 14():623-632. PubMed ID: 33664585
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of machine learning models for predicting outcome in patients with distal medium vessel occlusions: a retrospective study.
    Ozkara BB; Karabacak M; Kotha A; Cristiano BC; Wintermark M; Yedavalli VS
    Quant Imaging Med Surg; 2023 Sep; 13(9):5815-5830. PubMed ID: 37711830
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [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]  

  • 15. Development and Validation of a New Nomogram Model for Predicting Acute Ischemic Stroke in Elderly Patients with Non-Valvular Atrial Fibrillation: A Single-Center Cross-Sectional Study.
    Guo J; Zhou Y; Zhou B
    Clin Interv Aging; 2024; 19():67-79. PubMed ID: 38223136
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.
    Qiu H; Luo L; Su Z; Zhou L; Wang L; Chen Y
    BMC Med Inform Decis Mak; 2020 May; 20(1):83. PubMed ID: 32357880
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A study on predicting the length of hospital stay for Chinese patients with ischemic stroke based on the XGBoost algorithm.
    Chen R; Zhang S; Li J; Guo D; Zhang W; Wang X; Tian D; Qu Z; Wang X
    BMC Med Inform Decis Mak; 2023 Mar; 23(1):49. PubMed ID: 36949434
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Factors related to decision delay in acute stroke.
    Faiz KW; Sundseth A; Thommessen B; Rønning OM
    J Stroke Cerebrovasc Dis; 2014 Mar; 23(3):534-9. PubMed ID: 23747180
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Assessing the predictive power of psychological empowerment and health literacy for older patients' participation in health care: a cross-sectional population-based study.
    Sak G; Rothenfluh F; Schulz PJ
    BMC Geriatr; 2017 Feb; 17(1):59. PubMed ID: 28219334
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.
    Herrin J; Abraham NS; Yao X; Noseworthy PA; Inselman J; Shah ND; Ngufor C
    JAMA Netw Open; 2021 May; 4(5):e2110703. PubMed ID: 34019087
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.