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 *

218 related articles for article (PubMed ID: 35499292)

  • 21. Extreme gradient boosting model to assess risk of central cervical lymph node metastasis in patients with papillary thyroid carcinoma: Individual prediction using SHapley Additive exPlanations.
    Zou Y; Shi Y; Sun F; Liu J; Guo Y; Zhang H; Lu X; Gong Y; Xia S
    Comput Methods Programs Biomed; 2022 Oct; 225():107038. PubMed ID: 35930861
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Machine Learning-Based Prediction of Lymph Node Metastasis Among Osteosarcoma Patients.
    Li W; Liu Y; Liu W; Tang ZR; Dong S; Li W; Zhang K; Xu C; Hu Z; Wang H; Lei Z; Liu Q; Guo C; Yin C
    Front Oncol; 2022; 12():797103. PubMed ID: 35515104
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A machine learning-based model for clinical prediction of distal metastasis in chondrosarcoma: a multicenter, retrospective study.
    Wei J; Lu S; Liu W; Liu H; Feng L; Tao Y; Pu Z; Liu Q; Hu Z; Wang H; Li W; Kang W; Yin C; Feng Z
    PeerJ; 2023; 11():e16485. PubMed ID: 38130920
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Exploring risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: construction of a novel population-based predictive model.
    Huang Y; Mao Y; Xu L; Wen J; Chen G
    BMC Endocr Disord; 2022 Nov; 22(1):269. PubMed ID: 36329470
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Prediction of lung metastases in thyroid cancer using machine learning based on SEER database.
    Liu W; Wang S; Ye Z; Xu P; Xia X; Guo M
    Cancer Med; 2022 Jun; 11(12):2503-2515. PubMed ID: 35191613
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Clinical Data based XGBoost Algorithm for infection risk prediction of patients with decompensated cirrhosis: a 10-year (2012-2021) Multicenter Retrospective Case-control study.
    Zheng J; Li J; Zhang Z; Yu Y; Tan J; Liu Y; Gong J; Wang T; Wu X; Guo Z
    BMC Gastroenterol; 2023 Sep; 23(1):310. PubMed ID: 37704966
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Comparison of Prediction Models for Acute Kidney Injury Among Patients with Hepatobiliary Malignancies Based on XGBoost and LASSO-Logistic Algorithms.
    Zhang Y; Wang Y; Xu J; Zhu B; Chen X; Ding X; Li Y
    Int J Gen Med; 2021; 14():1325-1335. PubMed ID: 33889012
    [TBL] [Abstract][Full Text] [Related]  

  • 28. [Genome-wide association study based risk prediction model in predicting lung cancer risk in Chinese].
    Zhu M; Cheng Y; Dai J; Xie L; Jin G; Ma H; Hu Z; Shi Y; Lin D; Shen H
    Zhonghua Liu Xing Bing Xue Za Zhi; 2015 Oct; 36(10):1047-52. PubMed ID: 26837341
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Early prediction of acute kidney injury in patients with gastrointestinal bleeding admitted to the intensive care unit based on extreme gradient boosting.
    Shi H; Shen Y; Li L
    Front Med (Lausanne); 2023; 10():1221602. PubMed ID: 37720504
    [TBL] [Abstract][Full Text] [Related]  

  • 30. XGBoost Machine Learning Algorithm for Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage.
    Wang R; Zhang J; Shan B; He M; Xu J
    Neuropsychiatr Dis Treat; 2022; 18():659-667. PubMed ID: 35378822
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Predicting Survival of Patients With Rectal Neuroendocrine Tumors Using Machine Learning: A SEER-Based Population Study.
    Cheng X; Li J; Xu T; Li K; Li J
    Front Surg; 2021; 8():745220. PubMed ID: 34805260
    [No Abstract]   [Full Text] [Related]  

  • 32. A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.
    Zhang G; Shi Y; Yin P; Liu F; Fang Y; Li X; Zhang Q; Zhang Z
    Front Oncol; 2022; 12():944569. PubMed ID: 35957890
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Risk score prediction model based on single nucleotide polymorphism for predicting malaria: a machine learning approach.
    Tai KY; Dhaliwal J; Wong K
    BMC Bioinformatics; 2022 Aug; 23(1):325. PubMed ID: 35934714
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Extreme Gradient Boosting Model Has a Better Performance in Predicting the Risk of 90-Day Readmissions in Patients with Ischaemic Stroke.
    Xu Y; Yang X; Huang H; Peng C; Ge Y; Wu H; Wang J; Xiong G; Yi Y
    J Stroke Cerebrovasc Dis; 2019 Dec; 28(12):104441. PubMed ID: 31627995
    [TBL] [Abstract][Full Text] [Related]  

  • 35. [Comparison of machine learning and Logistic regression model in predicting acute kidney injury after cardiac surgery: data analysis based on MIMIC-III database].
    Xiong W; Zhang L; She K; Xu G; Bai S; Liu X
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Nov; 34(11):1188-1193. PubMed ID: 36567564
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prediction of lung cancer risk in a Chinese population using a multifactorial genetic model.
    Li H; Yang L; Zhao X; Wang J; Qian J; Chen H; Fan W; Liu H; Jin L; Wang W; Lu D
    BMC Med Genet; 2012 Dec; 13():118. PubMed ID: 23228068
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation.
    Chen C; Yang D; Gao S; Zhang Y; Chen L; Wang B; Mo Z; Yang Y; Hei Z; Zhou S
    Respir Res; 2021 Mar; 22(1):94. PubMed ID: 33789673
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Machine learning risk score for prediction of gestational diabetes in early pregnancy in Tianjin, China.
    Liu H; Li J; Leng J; Wang H; Liu J; Li W; Liu H; Wang S; Ma J; Chan JC; Yu Z; Hu G; Li C; Yang X
    Diabetes Metab Res Rev; 2021 Jul; 37(5):e3397. PubMed ID: 32845061
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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; 13(2):1215-1229. PubMed ID: 33717594
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.