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 *

170 related articles for article (PubMed ID: 38543017)

  • 1. Machine-Learning-Based Prediction of Plant Cuticle-Air Partition Coefficients for Organic Pollutants: Revealing Mechanisms from a Molecular Structure Perspective.
    Tao T; Tao C; Zhu T
    Molecules; 2024 Mar; 29(6):. PubMed ID: 38543017
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring QSPR models for predicting PUF-air partition coefficients of organic compounds with linear and nonlinear approaches.
    Zhu T; Gu L; Chen M; Sun F
    Chemosphere; 2021 Mar; 266():128962. PubMed ID: 33218721
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction models with multiple machine learning algorithms for POPs: The calculation of PDMS-air partition coefficient from molecular descriptor.
    Zhu T; Tao C
    J Hazard Mater; 2022 Feb; 423(Pt B):127037. PubMed ID: 34530267
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting plant cuticle-water partition coefficients for organic pollutants using pp-LFER model.
    Qi X; Li X; Yao H; Huang Y; Cai X; Chen J; Zhu H
    Sci Total Environ; 2020 Jul; 725():138455. PubMed ID: 32315909
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Novel quantitative structure activity relationship models for predicting hexadecane/air partition coefficients of organic compounds.
    Wang Y; Tang W; Xiao Z; Yang W; Peng Y; Chen J; Li J
    J Environ Sci (China); 2023 Feb; 124():98-104. PubMed ID: 36182199
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Versatile in silico modelling of microplastics adsorption capacity in aqueous environment based on molecular descriptor and machine learning.
    Zhu T; Tao C; Cheng H; Cong H
    Sci Total Environ; 2022 Nov; 846():157455. PubMed ID: 35863580
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Development and validation of explainable machine-learning models for carotid atherosclerosis early screening.
    Yun K; He T; Zhen S; Quan M; Yang X; Man D; Zhang S; Wang W; Han X
    J Transl Med; 2023 May; 21(1):353. PubMed ID: 37246225
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Mechanistic and data-driven perspectives on plant uptake of organic pollutants.
    Wu C; Liang Y; Jiang S; Shi Z
    Sci Total Environ; 2024 Jun; 929():172415. PubMed ID: 38631647
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development of liposome/water partition coefficients predictive models for neutral and ionogenic organic chemicals.
    Lin S; Yang X; Liu H
    Ecotoxicol Environ Saf; 2019 Sep; 179():40-49. PubMed ID: 31026749
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Quantitative structure-property relationships for the calculation of the soil adsorption coefficient using machine learning algorithms with calculated chemical properties from open-source software.
    Kobayashi Y; Yoshida K
    Environ Res; 2021 May; 196():110363. PubMed ID: 33148423
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The use of simple structural parameters of organic compounds to assess their PUF-air partition coefficients.
    Keshavarz MH; Shirazi Z; Jafari M; Jannesari F
    Chemosphere; 2024 Feb; 349():140855. PubMed ID: 38048827
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of predictive models for silicone rubber-water partition coefficients of hydrophobic organic contaminants.
    Sun H; Yang X; Li X; Jin X
    Environ Sci Process Impacts; 2019 Dec; 21(12):2020-2030. PubMed ID: 31589229
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning-based models for the prediction of breast cancer recurrence risk.
    Zuo D; Yang L; Jin Y; Qi H; Liu Y; Ren L
    BMC Med Inform Decis Mak; 2023 Nov; 23(1):276. PubMed ID: 38031071
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Research on QSPR for n-octanol-water partition coefficients of organic compounds based on genetic algorithms-support vector machine and genetic algorithms-radial basis function neural networks].
    Qi J; Niu JF; Wang LL
    Huan Jing Ke Xue; 2008 Jan; 29(1):212-8. PubMed ID: 18441943
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving predictions and understanding of primary and ultimate biodegradation rates with machine learning models.
    Jiang S; Liang Y; Shi S; Wu C; Shi Z
    Sci Total Environ; 2023 Dec; 904():166623. PubMed ID: 37652371
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Versatile in silico modeling of XAD-air partition coefficients for POPs based on abraham descriptor and temperature.
    Tao C; Chen Y; Tao T; Cao Z; Chen W; Zhu T
    Environ Pollut; 2022 Oct; 311():119857. PubMed ID: 35944777
    [TBL] [Abstract][Full Text] [Related]  

  • 18. QSPR models for predicting generator-column-derived octanol/water and octanol/air partition coefficients of polychlorinated biphenyls.
    Yuan J; Yu S; Zhang T; Yuan X; Cao Y; Yu X; Yang X; Yao W
    Ecotoxicol Environ Saf; 2016 Jun; 128():171-80. PubMed ID: 26943944
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Prediction model of atrial fibrillation recurrence after Cox-Maze IV procedure in patients with chronic valvular disease and atrial fibrillation based on machine learning algorithm.
    Jiang Z; Song L; Liang C; Zhang H; Liu L
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2023 Jul; 48(7):995-1007. PubMed ID: 37724402
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.