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 *

123 related articles for article (PubMed ID: 37574562)

  • 1. Prediction of 5-year overall survival of tongue cancer based machine learning.
    Li L; Pu C; Jin N; Zhu L; Hu Y; Cascone P; Tao Y; Zhang H
    BMC Oral Health; 2023 Aug; 23(1):567. PubMed ID: 37574562
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning Predicts Lymph Node Metastasis in Early-Stage Oral Tongue Squamous Cell Carcinoma.
    Shan J; Jiang R; Chen X; Zhong Y; Zhang W; Xie L; Cheng J; Jiang H
    J Oral Maxillofac Surg; 2020 Dec; 78(12):2208-2218. PubMed ID: 32649894
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of 3-year risk of diabetic kidney disease using machine learning based on electronic medical records.
    Dong Z; Wang Q; Ke Y; Zhang W; Hong Q; Liu C; Liu X; Yang J; Xi Y; Shi J; Zhang L; Zheng Y; Lv Q; Wang Y; Wu J; Sun X; Cai G; Qiao S; Yin C; Su S; Chen X
    J Transl Med; 2022 Mar; 20(1):143. PubMed ID: 35346252
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Early detection of squamous cell carcinoma of the oral tongue using multidimensional plasma protein analysis and interpretable machine learning.
    Gu X; Salehi A; Wang L; Coates PJ; Sgaramella N; Nylander K
    J Oral Pathol Med; 2023 Aug; 52(7):637-643. PubMed ID: 37428440
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning-based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma.
    Yuan Y; Ren J; Tao X
    Eur Radiol; 2021 Sep; 31(9):6429-6437. PubMed ID: 33569617
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of low cardiac output syndrome in patients following cardiac surgery using machine learning.
    Hong L; Xu H; Ge C; Tao H; Shen X; Song X; Guan D; Zhang C
    Front Med (Lausanne); 2022; 9():973147. PubMed ID: 36091676
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of Acute Kidney Injury after Extracorporeal Cardiac Surgery (CSA-AKI) by Machine Learning Algorithms.
    Tong Y; Niu X; Liu F
    Heart Surg Forum; 2023 Oct; 26(5):E537-E551. PubMed ID: 37920093
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

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

  • 11. Development of a Machine Learning Model to Predict Recurrence of Oral Tongue Squamous Cell Carcinoma.
    Fatapour Y; Abiri A; Kuan EC; Brody JP
    Cancers (Basel); 2023 May; 15(10):. PubMed ID: 37345106
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Prediction of lymph node metastasis in oral tongue squamous cell carcinoma using the neutrophil-to-lymphocyte ratio and platelet-to-neutrophil ratio.
    Wang B; Liu J; Zhong Z
    J Clin Lab Anal; 2021 Jun; 35(6):e23684. PubMed ID: 33942387
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer.
    Alabi RO; Mäkitie AA; Pirinen M; Elmusrati M; Leivo I; Almangush A
    Int J Med Inform; 2021 Jan; 145():104313. PubMed ID: 33142259
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A practical online prediction platform to predict the survival status of laryngeal squamous cell carcinoma after 5 years.
    Li Z; Li T; Zhang P; Wang X
    Am J Otolaryngol; 2024; 45(3):104209. PubMed ID: 38154199
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A machine learning-based prediction model pre-operatively for functional recovery after 1-year of hip fracture surgery in older people.
    Lin C; Liang Z; Liu J; Sun W
    Front Surg; 2023; 10():1160085. PubMed ID: 37351328
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A 15-Gene Signature and Prognostic Nomogram for Predicting Overall Survival in Non-Distant Metastatic Oral Tongue Squamous Cell Carcinoma.
    Liu M; Tong L; Liang B; Song X; Xie L; Peng H; Huang D
    Front Oncol; 2021; 11():587548. PubMed ID: 33767977
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of the risk of cytopenia in hospitalized HIV/AIDS patients using machine learning methods based on electronic medical records.
    Huang L; Xie B; Zhang K; Xu Y; Su L; Lv Y; Lu Y; Qin J; Pang X; Qiu H; Li L; Wei X; Huang K; Meng Z; Hu Y; Lv J
    Front Public Health; 2023; 11():1184831. PubMed ID: 37575113
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning based on magnetic resonance imaging and clinical parameters helps predict mesenchymal-epithelial transition factor expression in oral tongue squamous cell carcinoma: a pilot study.
    Yang G; Xiao Z; Ren J; Xia R; Wu Y; Yuan Y; Tao X
    Oral Surg Oral Med Oral Pathol Oral Radiol; 2024 Apr; 137(4):421-430. PubMed ID: 38246808
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interpretable machine learning for the prediction of death risk in patients with acute diquat poisoning.
    Li H; Liu Z; Sun W; Li T; Dong X
    Sci Rep; 2024 Jul; 14(1):16101. PubMed ID: 38997450
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.