BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

514 related articles for article (PubMed ID: 36479910)

  • 1. A 5-year survival status prognosis of nonmetastatic cervical cancer patients through machine learning algorithms.
    Yu W; Lu Y; Shou H; Xu H; Shi L; Geng X; Song T
    Cancer Med; 2023 Mar; 12(6):6867-6876. PubMed ID: 36479910
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma.
    Dong B; Zhang H; Duan Y; Yao S; Chen Y; Zhang C
    J Transl Med; 2024 May; 22(1):455. PubMed ID: 38741163
    [TBL] [Abstract][Full Text] [Related]  

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

  • 4. Predicting and identifying factors associated with undernutrition among children under five years in Ghana using machine learning algorithms.
    Anku EK; Duah HO
    PLoS One; 2024; 19(2):e0296625. PubMed ID: 38349921
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using Machine Learning Approaches to Predict Short-Term Risk of Cardiotoxicity Among Patients with Colorectal Cancer After Starting Fluoropyrimidine-Based Chemotherapy.
    Li C; Chen L; Chou C; Ngorsuraches S; Qian J
    Cardiovasc Toxicol; 2022 Feb; 22(2):130-140. PubMed ID: 34792740
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Application of machine learning techniques for predicting survival in ovarian cancer.
    Sorayaie Azar A; Babaei Rikan S; Naemi A; Bagherzadeh Mohasefi J; Pirnejad H; Bagherzadeh Mohasefi M; Wiil UK
    BMC Med Inform Decis Mak; 2022 Dec; 22(1):345. PubMed ID: 36585641
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Machine Learning Algorithm for Predicting the Risk of Developing to M1b Stage of Patients With Germ Cell Testicular Cancer.
    Ding L; Wang K; Zhang C; Zhang Y; Wang K; Li W; Wang J
    Front Public Health; 2022; 10():916513. PubMed ID: 35844840
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting conversion of ambulatory ACDF patients to inpatient: a machine learning approach.
    Schönnagel L; Tani S; Vu-Han TL; Zhu J; Camino-Willhuber G; Dodo Y; Caffard T; Chiapparelli E; Oezel L; Shue J; Zelenty WD; Lebl DR; Cammisa FP; Girardi FP; Sokunbi G; Hughes AP; Sama AA
    Spine J; 2024 Apr; 24(4):563-571. PubMed ID: 37980960
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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; 25():e45515. PubMed ID: 38109177
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis.
    Zhu Y; Liu Y; Wang Q; Niu S; Wang L; Cheng C; Chen X; Liu J; Zhao S
    J Cancer Res Clin Oncol; 2023 Dec; 149(19):17479-17493. PubMed ID: 37897658
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning-assisted decision-support models to better predict patients with calculous pyonephrosis.
    Liu H; Wang X; Tang K; Peng E; Xia D; Chen Z
    Transl Androl Urol; 2021 Feb; 10(2):710-723. PubMed ID: 33718073
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Applying interpretable machine learning algorithms to predict risk factors for permanent stoma in patients after TME.
    Liu Y; Zhao S; Du W; Tian Z; Chi H; Chao C; Shen W
    Front Surg; 2023; 10():1125875. PubMed ID: 37035560
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ten-Year Multicenter Retrospective Study Utilizing Machine Learning Algorithms to Identify Patients at High Risk of Venous Thromboembolism After Radical Gastrectomy.
    Liu Y; Song C; Tian Z; Shen W
    Int J Gen Med; 2023; 16():1909-1925. PubMed ID: 37228741
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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; 22(1):236. PubMed ID: 38439097
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
    Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
    Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Preoperative prediction of vessel invasion in locally advanced gastric cancer based on computed tomography radiomics and machine learning.
    Hu ZW; Liang P; Li ZL; Yong LL; Lu H; Wang R; Gao JB
    Oncol Lett; 2023 Jul; 26(1):293. PubMed ID: 37274479
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 26.