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 *

142 related articles for article (PubMed ID: 37652371)

  • 1. 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]  

  • 2. Development of models predicting biodegradation rate rating with multiple linear regression and support vector machine algorithms.
    Tang W; Li Y; Yu Y; Wang Z; Xu T; Chen J; Lin J; Li X
    Chemosphere; 2020 Aug; 253():126666. PubMed ID: 32289603
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A quantitative structure-biodegradation relationship (QSBR) approach to predict biodegradation rates of aromatic chemicals.
    Acharya K; Werner D; Dolfing J; Barycki M; Meynet P; Mrozik W; Komolafe O; Puzyn T; Davenport RJ
    Water Res; 2019 Jun; 157():181-190. PubMed ID: 30953853
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.
    Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Application of a developed triple-classification machine learning model for carcinogenic prediction of hazardous organic chemicals to the US, EU, and WHO based on Chinese database.
    Hao N; Sun P; Zhao W; Li X
    Ecotoxicol Environ Saf; 2023 Apr; 255():114806. PubMed ID: 36948010
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A review of structure-based biodegradation estimation methods.
    Raymond JW; Rogers TN; Shonnard DR; Kline AA
    J Hazard Mater; 2001 Jun; 84(2-3):189-215. PubMed ID: 11406306
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modeling adsorption of organic pollutants onto single-walled carbon nanotubes with theoretical molecular descriptors using MLR and SVM algorithms.
    Wang Y; Chen J; Tang W; Xia D; Liang Y; Li X
    Chemosphere; 2019 Jan; 214():79-84. PubMed ID: 30261420
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Quantitative structure-biodegradability relationships for biokinetic parameter of polycyclic aromatic hydrocarbons.
    Xu P; Ma W; Han H; Jia S; Hou B
    J Environ Sci (China); 2015 Apr; 30():180-5. PubMed ID: 25872725
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification and Regression Machine Learning Models for Predicting Aerobic Ready and Inherent Biodegradation of Organic Chemicals in Water.
    Huang K; Zhang H
    Environ Sci Technol; 2022 Sep; 56(17):12755-12764. PubMed ID: 35973069
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Seasonal prediction of daily PM
    Wu Y; Lin S; Shi K; Ye Z; Fang Y
    Environ Sci Pollut Res Int; 2022 Jun; 29(30):45821-45836. PubMed ID: 35150424
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation.
    Huang J; Chen H; Deng J; Liu X; Shu T; Yin C; Duan M; Fu L; Wang K; Zeng S
    Front Neurol; 2023; 14():1185447. PubMed ID: 37614971
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Interpretable machine learning model to predict rupture of small intracranial aneurysms and facilitate clinical decision.
    Xiong W; Chen T; Li J; Xiang L; Zhang C; Xiang L; Li Y; Chu D; Wu Y; Jie Q; Qiu R; Xu Z; Zou J; Fan H; Zhao Z
    Neurol Sci; 2022 Nov; 43(11):6371-6379. PubMed ID: 35997829
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Quantitative structure retention relationship (QSRR) modelling for Analytes' retention prediction in LC-HRMS by applying different Machine Learning algorithms and evaluating their performance.
    Liapikos T; Zisi C; Kodra D; Kademoglou K; Diamantidou D; Begou O; Pappa-Louisi A; Theodoridis G
    J Chromatogr B Analyt Technol Biomed Life Sci; 2022 Feb; 1191():123132. PubMed ID: 35093854
    [TBL] [Abstract][Full Text] [Related]  

  • 18. ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.
    Lei T; Chen F; Liu H; Sun H; Kang Y; Li D; Li Y; Hou T
    Mol Pharm; 2017 Jul; 14(7):2407-2421. PubMed ID: 28595388
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The experimental determination of reliable biodegradation rates for mono-aromatics towards evaluating QSBR models.
    Acharya K; Werner D; Dolfing J; Meynet P; Tabraiz S; Baluja MQ; Petropoulos E; Mrozik W; Davenport RJ
    Water Res; 2019 Sep; 160():278-287. PubMed ID: 31154125
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.