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 *

146 related articles for article (PubMed ID: 23203653)

  • 21. A comparison of neural network models, fuzzy logic, and multiple linear regression for prediction of hatchability.
    Mehri M
    Poult Sci; 2013 Apr; 92(4):1138-42. PubMed ID: 23472039
    [TBL] [Abstract][Full Text] [Related]  

  • 22. An artificial neural network to model response of a radiotherapy beam monitoring system.
    Cho YB; Farrokhkish M; Norrlinger B; Heaton R; Jaffray D; Islam M
    Med Phys; 2020 Apr; 47(4):1983-1994. PubMed ID: 31955428
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer.
    Que SJ; Chen QY; Qing-Zhong ; Liu ZY; Wang JB; Lin JX; Lu J; Cao LL; Lin M; Tu RH; Huang ZN; Lin JL; Zheng HL; Li P; Zheng CH; Huang CM; Xie JW
    World J Gastroenterol; 2019 Nov; 25(43):6451-6464. PubMed ID: 31798281
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands.
    Butt FM; Hussain L; Mahmood A; Lone KJ
    Math Biosci Eng; 2020 Dec; 18(1):400-425. PubMed ID: 33525099
    [TBL] [Abstract][Full Text] [Related]  

  • 25. QSPR estimation models of normal boiling point and relative liquid density of pure hydrocarbons using MLR and MLP-ANN methods.
    Roubehie Fissa M; Lahiouel Y; Khaouane L; Hanini S
    J Mol Graph Model; 2019 Mar; 87():109-120. PubMed ID: 30537641
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Improving artificial neural network model predictions of daily average PM10 concentrations by applying principle component analysis and implementing seasonal models.
    Taşpınar F
    J Air Waste Manag Assoc; 2015 Jul; 65(7):800-9. PubMed ID: 26079553
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Multiple linear regression and artificial neural networks for delta-endotoxin and protease yields modelling of Bacillus thuringiensis.
    Ennouri K; Ben Ayed R; Triki MA; Ottaviani E; Mazzarello M; Hertelli F; Zouari N
    3 Biotech; 2017 Jul; 7(3):187. PubMed ID: 28664374
    [TBL] [Abstract][Full Text] [Related]  

  • 28. New methods based on back propagation (BP) and radial basis function (RBF) artificial neural networks (ANNs) for predicting the occurrence of haloketones in tap water.
    Deng Y; Zhou X; Shen J; Xiao G; Hong H; Lin H; Wu F; Liao BQ
    Sci Total Environ; 2021 Jun; 772():145534. PubMed ID: 33571763
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Long short-term memory artificial neural network model for prediction of prostate cancer survival outcomes according to initial treatment strategy: development of an online decision-making support system.
    Koo KC; Lee KS; Kim S; Min C; Min GR; Lee YH; Han WK; Rha KH; Hong SJ; Yang SC; Chung BH
    World J Urol; 2020 Oct; 38(10):2469-2476. PubMed ID: 31925552
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
    Gholivand MB; Jalalvand AR; Goicoechea HC; Skov T
    Talanta; 2014 Feb; 119():553-63. PubMed ID: 24401455
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Comparing an Artificial Neural Network to Logistic Regression for Predicting ED Visit Risk Among Patients With Cancer: A Population-Based Cohort Study.
    Sutradhar R; Barbera L
    J Pain Symptom Manage; 2020 Jul; 60(1):1-9. PubMed ID: 32088358
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Seasonal variation in onset and relapse of IBD and a model to predict the frequency of onset, relapse, and severity of IBD based on artificial neural network.
    Peng JC; Ran ZH; Shen J
    Int J Colorectal Dis; 2015 Sep; 30(9):1267-73. PubMed ID: 25976931
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration.
    Ayer T; Alagoz O; Chhatwal J; Shavlik JW; Kahn CE; Burnside ES
    Cancer; 2010 Jul; 116(14):3310-21. PubMed ID: 20564067
    [TBL] [Abstract][Full Text] [Related]  

  • 34. An adaptive backpropagation algorithm for long-term electricity load forecasting.
    Mohammed NA; Al-Bazi A
    Neural Comput Appl; 2022; 34(1):477-491. PubMed ID: 34393381
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Artificial neural networks applied to forecasting time series.
    Montaño Moreno JJ; Palmer Pol A; Muñoz Gracia P
    Psicothema; 2011 Apr; 23(2):322-9. PubMed ID: 21504688
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Artificial Neural Network System to Predict the Postoperative Outcome of Percutaneous Nephrolithotomy.
    Aminsharifi A; Irani D; Pooyesh S; Parvin H; Dehghani S; Yousofi K; Fazel E; Zibaie F
    J Endourol; 2017 May; 31(5):461-467. PubMed ID: 28287830
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Prediction of intracerebral hemorrhage following thrombolytic therapy for acute ischemic stroke using multiple artificial neural networks.
    Dharmasaroja P; Dharmasaroja PA
    Neurol Res; 2012 Mar; 34(2):120-8. PubMed ID: 22333462
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Predicting endoscopic third ventriculostomy success in childhood hydrocephalus: an artificial neural network analysis.
    Azimi P; Mohammadi HR
    J Neurosurg Pediatr; 2014 Apr; 13(4):426-32. PubMed ID: 24483256
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Improved ANN-Based Approach Using Relative Impact for the Prediction of Thermal Coal Elemental Composition Using Proximate Analysis.
    Jo J; Lee DG; Kim J; Lee BH; Jeon CH
    ACS Omega; 2022 Aug; 7(34):29734-29746. PubMed ID: 36061718
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Application of artificial neural networks to the analysis of dynamic MR imaging features of the breast.
    Szabó BK; Wiberg MK; Boné B; Aspelin P
    Eur Radiol; 2004 Jul; 14(7):1217-25. PubMed ID: 15034745
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.