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 *

162 related articles for article (PubMed ID: 36144642)

  • 1. Machine Learning Assisted Prediction of Power Conversion Efficiency of All-Small Molecule Organic Solar Cells: A Data Visualization and Statistical Analysis.
    Alwadai N; Khan SU; Elqahtani ZM; Ud-Din Khan S
    Molecules; 2022 Sep; 27(18):. PubMed ID: 36144642
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Performance prediction of polymer-fullerene organic solar cells and data mining-assisted designing of new polymers.
    Xiao F; Saqib M; Razzaq S; Mubashir T; Tahir MH; Moussa IM; El-Ansary HO
    J Mol Model; 2023 Aug; 29(8):270. PubMed ID: 37530879
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete.
    Anjum M; Khan K; Ahmad W; Ahmad A; Amin MN; Nafees A
    Polymers (Basel); 2022 Sep; 14(18):. PubMed ID: 36146051
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of organic compound aqueous solubility using machine learning: a comparison study of descriptor-based and fingerprints-based models.
    Tayyebi A; Alshami AS; Rabiei Z; Yu X; Ismail N; Talukder MJ; Power J
    J Cheminform; 2023 Oct; 15(1):99. PubMed ID: 37853492
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features.
    Wenzel C; Liebig T; Swoboda A; Smolareck R; Schlagheck ML; Walzik D; Groll A; Goulding RP; Zimmer P
    Eur J Appl Physiol; 2024 Jul; ():. PubMed ID: 38958720
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting the bandgap and efficiency of perovskite solar cells using machine learning methods.
    Khan A; Kandel J; Tayara H; Chong KT
    Mol Inform; 2024 Feb; 43(2):e202300217. PubMed ID: 38050743
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine learning assisted designing of conjugated organic chromophores, light absorption, and emission behavior prediction.
    Xie Y; Mustafa G; AlMasoud N; Alomar TS; Tahir MH; El-Bahy ZM; Tufail MK
    Spectrochim Acta A Mol Biomol Spectrosc; 2024 Nov; 321():124746. PubMed ID: 38955065
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Easy and fast prediction of green solvents for small molecule donor-based organic solar cells through machine learning.
    Mahmood A; Sandali Y; Wang JL
    Phys Chem Chem Phys; 2023 Apr; 25(15):10417-10426. PubMed ID: 36987914
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of the development of acute kidney injury following cardiac surgery by machine learning.
    Tseng PY; Chen YT; Wang CH; Chiu KM; Peng YS; Hsu SP; Chen KL; Yang CY; Lee OK
    Crit Care; 2020 Jul; 24(1):478. PubMed ID: 32736589
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of machine learning-based read-across structure-property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye-sensitized solar cells (DSSCs).
    Pore S; Banerjee A; Roy K
    Mol Inform; 2024 Apr; 43(4):e202300210. PubMed ID: 38374528
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 Pandemic.
    Kumar Y; Koul A; Kaur S; Hu YC
    SN Comput Sci; 2023; 4(1):91. PubMed ID: 36532634
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Feature Attribution Analysis to Quantify the Impact of Oceanographic and Maneuverability Factors on Vessel Shaft Power Using Explainable Tree-Based Model.
    Kim D; Handayani MP; Lee S; Lee J
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772108
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
    Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
    JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Turnaround time prediction for clinical chemistry samples using machine learning.
    Tsai ER; Demirtas D; Hoogendijk N; Tintu AN; Boucherie RJ
    Clin Chem Lab Med; 2022 Nov; 60(12):1902-1910. PubMed ID: 36219883
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Explanation of machine learning models using shapley additive explanation and application for real data in hospital.
    Nohara Y; Matsumoto K; Soejima H; Nakashima N
    Comput Methods Programs Biomed; 2022 Feb; 214():106584. PubMed ID: 34942412
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine Learning Models Using SHapley Additive exPlanation for Fire Risk Assessment Mode and Effects Analysis of Stadiums.
    Lu Y; Fan X; Zhang Y; Wang Y; Jiang X
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850757
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of Prediction Models Based on Machine Learning for the Compressive Strength Estimation of Recycled Aggregate Concrete.
    Khan K; Ahmad W; Amin MN; Aslam F; Ahmad A; Al-Faiad MA
    Materials (Basel); 2022 May; 15(10):. PubMed ID: 35629456
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Understanding risk factors for postoperative mortality in neonates based on explainable machine learning technology.
    Hu Y; Gong X; Shu L; Zeng X; Duan H; Luo Q; Zhang B; Ji Y; Wang X; Shu Q; Li H
    J Pediatr Surg; 2021 Dec; 56(12):2165-2171. PubMed ID: 33863558
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Regression-based machine-learning approaches to predict task activation using resting-state fMRI.
    Cohen AD; Chen Z; Parker Jones O; Niu C; Wang Y
    Hum Brain Mapp; 2020 Feb; 41(3):815-826. PubMed ID: 31638304
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.
    van den Bosch T; Warps AK; de Nerée Tot Babberich MPM; Stamm C; Geerts BF; Vermeulen L; Wouters MWJM; Dekker JWT; Tollenaar RAEM; Tanis PJ; Miedema DM;
    JAMA Netw Open; 2021 Apr; 4(4):e217737. PubMed ID: 33900400
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.