BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

297 related articles for article (PubMed ID: 32504969)

  • 1. Predicting postoperative delirium after microvascular decompression surgery with machine learning.
    Wang Y; Lei L; Ji M; Tong J; Zhou CM; Yang JJ
    J Clin Anesth; 2020 Nov; 66():109896. PubMed ID: 32504969
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning.
    Zhou C; Wang Y; Ji MH; Tong J; Yang JJ; Xia H
    Cancer Control; 2020; 27(1):1073274820968900. PubMed ID: 33115287
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting postoperative liver cancer death outcomes with machine learning.
    Wang Y; Ji C; Wang Y; Ji M; Yang JJ; Zhou CM
    Curr Med Res Opin; 2021 Apr; 37(4):629-634. PubMed ID: 33539249
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A machine learning-based predictor for the identification of the recurrence of patients with gastric cancer after operation.
    Zhou C; Hu J; Wang Y; Ji MH; Tong J; Yang JJ; Xia H
    Sci Rep; 2021 Jan; 11(1):1571. PubMed ID: 33452440
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Developing Machine Learning Algorithms to Predict Pulmonary Complications After Emergency Gastrointestinal Surgery.
    Xue Q; Wen D; Ji MH; Tong J; Yang JJ; Zhou CM
    Front Med (Lausanne); 2021; 8():655686. PubMed ID: 34409047
    [No Abstract]   [Full Text] [Related]  

  • 6. Machine Learning Algorithms for Predicting the Recurrence of Stage IV Colorectal Cancer After Tumor Resection.
    Xu Y; Ju L; Tong J; Zhou CM; Yang JJ
    Sci Rep; 2020 Feb; 10(1):2519. PubMed ID: 32054897
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning to predict the cancer-specific mortality of patients with primary non-metastatic invasive breast cancer.
    Zhou CM; Xue Q; Wang Y; Tong J; Ji M; Yang JJ
    Surg Today; 2021 May; 51(5):756-763. PubMed ID: 33104877
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparative study of machine learning algorithms for predicting acute kidney injury after liver cancer resection.
    Lei L; Wang Y; Xue Q; Tong J; Zhou CM; Yang JJ
    PeerJ; 2020; 8():e8583. PubMed ID: 32140301
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine Learning Algorithm Using Electronic Chart-Derived Data to Predict Delirium After Elderly Hip Fracture Surgeries: A Retrospective Case-Control Study.
    Zhao H; You J; Peng Y; Feng Y
    Front Surg; 2021; 8():634629. PubMed ID: 34327210
    [No Abstract]   [Full Text] [Related]  

  • 10. Machine Learning to Develop and Internally Validate a Predictive Model for Post-operative Delirium in a Prospective, Observational Clinical Cohort Study of Older Surgical Patients.
    Racine AM; Tommet D; D'Aquila ML; Fong TG; Gou Y; Tabloski PA; Metzger ED; Hshieh TT; Schmitt EM; Vasunilashorn SM; Kunze L; Vlassakov K; Abdeen A; Lange J; Earp B; Dickerson BC; Marcantonio ER; Steingrimsson J; Travison TG; Inouye SK; Jones RN;
    J Gen Intern Med; 2021 Feb; 36(2):265-273. PubMed ID: 33078300
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records.
    Jung JW; Hwang S; Ko S; Jo C; Park HY; Han HS; Lee MC; Park JE; Ro DH
    BMC Psychiatry; 2022 Jun; 22(1):436. PubMed ID: 35761274
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients.
    Liu Y; Shen W; Tian Z
    Clin Interv Aging; 2023; 18():157-168. PubMed ID: 36789284
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.
    Wong A; Young AT; Liang AS; Gonzales R; Douglas VC; Hadley D
    JAMA Netw Open; 2018 Aug; 1(4):e181018. PubMed ID: 30646095
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and Validation of a Prognostic Classification Model Predicting Postoperative Adverse Outcomes in Older Surgical Patients Using a Machine Learning Algorithm: Retrospective Observational Network Study.
    Choi JY; Yoo S; Song W; Kim S; Baek H; Lee JS; Yoon YS; Yoon S; Lee HY; Kim KI
    J Med Internet Res; 2023 Nov; 25():e42259. PubMed ID: 37955965
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology.
    Zhou CM; Wang Y; Yang JJ; Zhu Y
    BMC Med Inform Decis Mak; 2023 Mar; 23(1):53. PubMed ID: 37004065
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Supervised Machine Learning Predictive Analytics For Triple-Negative Breast Cancer Death Outcomes.
    Xu Y; Ju L; Tong J; Zhou C; Yang J
    Onco Targets Ther; 2019; 12():9059-9067. PubMed ID: 31802913
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of Incident Delirium Using a Random Forest classifier.
    Corradi JP; Thompson S; Mather JF; Waszynski CM; Dicks RS
    J Med Syst; 2018 Nov; 42(12):261. PubMed ID: 30430256
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Risk factors for postoperative delirium in patients undergoing microvascular decompression.
    He Z; Cheng H; Wu H; Sun G; Yuan J
    PLoS One; 2019; 14(4):e0215374. PubMed ID: 30998697
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction models for postoperative delirium in elderly patients with machine-learning algorithms and SHapley Additive exPlanations.
    Song Y; Zhang D; Wang Q; Liu Y; Chen K; Sun J; Shi L; Li B; Yang X; Mi W; Cao J
    Transl Psychiatry; 2024 Jan; 14(1):57. PubMed ID: 38267405
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Postoperative delirium prediction after cardiac surgery using machine learning models.
    Yang T; Yang H; Liu Y; Liu X; Ding YJ; Li R; Mao AQ; Huang Y; Li XL; Zhang Y; Yu FX
    Comput Biol Med; 2024 Feb; 169():107818. PubMed ID: 38134752
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.