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PUBMED FOR HANDHELDS

Journal Abstract Search


134 related items for PubMed ID: 24125983

  • 21. Computerized detection of breast cancer with artificial intelligence and thermograms.
    Ng EY, Fok SC, Peh YC, Ng FC, Sim LS.
    J Med Eng Technol; 2002; 26(4):152-7. PubMed ID: 12396330
    [Abstract] [Full Text] [Related]

  • 22. Cancer prediction based on radical basis function neural network with particle swarm optimization.
    Yan XB, Xiong WQ, Hu L, Zhao K.
    Asian Pac J Cancer Prev; 2014; 15(18):7775-80. PubMed ID: 25292062
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  • 23. Nonlinear discriminant analysis and prognostic factor classification in node-negative primary breast cancer using probabilistic neural networks.
    Le Goff JM, Lavayssière L, Rouëssé J, Spyratos F.
    Anticancer Res; 2000; 20(3B):2213-8. PubMed ID: 10928180
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  • 24. Application of fuzzy-classifier system to coronary artery disease and breast cancer.
    Jain R, Mazumdar J, Moran W.
    Australas Phys Eng Sci Med; 1998 Sep; 21(3):141-7. PubMed ID: 9848948
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  • 25. Predicting breast screening attendance using machine learning techniques.
    Baskaran V, Guergachi A, Bali RK, Naguib RN.
    IEEE Trans Inf Technol Biomed; 2011 Mar; 15(2):251-9. PubMed ID: 21216721
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  • 26. Prediction of influenza vaccination outcome by neural networks and logistic regression.
    Trtica-Majnaric L, Zekic-Susac M, Sarlija N, Vitale B.
    J Biomed Inform; 2010 Oct; 43(5):774-81. PubMed ID: 20451660
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  • 27. A novel information geometric approach to variable selection in MLP networks.
    Eleuteri A, Tagliaferri R, Milano L.
    Neural Netw; 2005 Dec; 18(10):1309-18. PubMed ID: 15990274
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  • 28. Application of the PSO-SVM model for recognition of control chart patterns.
    Ranaee V, Ebrahimzadeh A, Ghaderi R.
    ISA Trans; 2010 Oct; 49(4):577-86. PubMed ID: 20663504
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  • 29. A fast and adaptive automated disease diagnosis method with an innovative neural network model.
    Alkım E, Gürbüz E, Kılıç E.
    Neural Netw; 2012 Sep; 33():88-96. PubMed ID: 22609534
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  • 30. Online dimensionality reduction using competitive learning and Radial Basis Function network.
    Tomenko V.
    Neural Netw; 2011 Jun; 24(5):501-11. PubMed ID: 21420831
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  • 31. Analysis and test of efficient methods for building recursive deterministic perceptron neural networks.
    Elizondo DA, Birkenhead R, Góngora M, Taillard E, Luyima P.
    Neural Netw; 2007 Dec; 20(10):1095-108. PubMed ID: 17904333
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  • 32. An ensemble classifier method based on teaching-learning-based optimization for breast cancer diagnosis.
    Tuerhong A, Silamujiang M, Xianmuxiding Y, Wu L, Mojarad M.
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):9337-9348. PubMed ID: 37202580
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  • 33. An incremental learning method based on probabilistic neural networks and adjustable fuzzy clustering for human activity recognition by using wearable sensors.
    Wang Z, Jiang M, Hu Y, Li H.
    IEEE Trans Inf Technol Biomed; 2012 Jul; 16(4):691-9. PubMed ID: 22614724
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  • 34. Knowledge mining from clinical datasets using rough sets and backpropagation neural network.
    Nahato KB, Harichandran KN, Arputharaj K.
    Comput Math Methods Med; 2015 Jul; 2015():460189. PubMed ID: 25821508
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  • 35. Comparative analysis of instance selection algorithms for instance-based classifiers in the context of medical decision support.
    Mazurowski MA, Malof JM, Tourassi GD.
    Phys Med Biol; 2011 Jan 21; 56(2):473-89. PubMed ID: 21191152
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  • 36. An attribute weight assignment and particle swarm optimization algorithm for medical database classifications.
    Chang PC, Lin JJ, Liu CH.
    Comput Methods Programs Biomed; 2012 Sep 21; 107(3):382-92. PubMed ID: 21194784
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  • 37. A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis.
    Sahan S, Polat K, Kodaz H, Güneş S.
    Comput Biol Med; 2007 Mar 21; 37(3):415-23. PubMed ID: 16904096
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  • 38. Neural architecture design based on extreme learning machine.
    Bueno-Crespo A, García-Laencina PJ, Sancho-Gómez JL.
    Neural Netw; 2013 Dec 21; 48():19-24. PubMed ID: 23892908
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  • 39. A structured combination of ensemble classifier and filter-based feature selection to improve breast cancer diagnosis.
    Zheng D, Tang P, Lu D, Han L, Saberi S.
    J Cancer Res Clin Oncol; 2023 Nov 21; 149(16):14519-14534. PubMed ID: 37567985
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  • 40. [A method for creating fuzzy neural-network models using the MATLAB package for biomedical applications].
    Zhilin VV, Filist SA, Rakhim KA, Shatalova OV.
    Med Tekh; 2008 Nov 21; (2):15-8. PubMed ID: 18507134
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