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 *

194 related articles for article (PubMed ID: 14521780)

  • 1. [Study on meteorological factors-based neural network model of malaria].
    Gao CY; Xiong HY; Yi D; Chai GJ; Yang XW; Liu L
    Zhonghua Liu Xing Bing Xue Za Zhi; 2003 Sep; 24(9):831-4. PubMed ID: 14521780
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Preliminary application of Back-Propagation artificial neural network model on the prediction of infectious diarrhea incidence in Shanghai].
    Li J; Gu JZ; Mao SH; Xiao WJ; Jin HM; Zheng YX; Wang YM; Hu JY
    Zhonghua Liu Xing Bing Xue Za Zhi; 2013 Dec; 34(12):1198-202. PubMed ID: 24518019
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Establishment of an artificial neural network model for analysis of the influence of climate factors on the density of Aedes albopictus].
    Yu DX; Lin LF; Luo L; Zhou W; Gao LL; Chen Q; Yu SY
    Nan Fang Yi Ke Da Xue Xue Bao; 2010 Jul; 30(7):1604-5, 1609. PubMed ID: 20650778
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [A preliminary study on the effects of meteorological factors on intracerebral hemorrhage death using the BP neural network model].
    Gao HL; Lan L; Qiao DJ; Zhao N; Yang JQ; Shao B; Jiao Z; Li H; Wang BY
    Zhonghua Liu Xing Bing Xue Za Zhi; 2012 Sep; 33(9):937-40. PubMed ID: 23290807
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Time-series analysis on the malaria morbidity affected by meteorological factors in Guangdong province].
    Luo Y; Zhang YH; Pei FQ; Liu T; Zeng WL; Xiao JP; Ma WJ
    Zhonghua Yu Fang Yi Xue Za Zhi; 2012 Oct; 46(10):892-7. PubMed ID: 23363862
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand.
    Kiang R; Adimi F; Soika V; Nigro J; Singhasivanon P; Sirichaisinthop J; Leemingsawat S; Apiwathnasorn C; Looareesuwan S
    Geospat Health; 2006 Nov; 1(1):71-84. PubMed ID: 18686233
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Temporal neural networks for downscaling climate variability and extremes.
    Dibike YB; Coulibaly P
    Neural Netw; 2006 Mar; 19(2):135-44. PubMed ID: 16527456
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Typhoid and paratyphoid fever in Yunnan province: distributional patterns and the related meteorological factors].
    Wang LX; Yan MY; Fang LQ; Fu XQ; Wang DC; Sun JL; Cao WC; Zhang J; Kan B
    Zhonghua Liu Xing Bing Xue Za Zhi; 2011 May; 32(5):485-9. PubMed ID: 21569733
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Development of a model for the diagnosis and risk classification on anthrax through artificial neural network].
    Han JX; Xiong HY; Zhang TH; Xu B; Li YF; Zhu CZ; Ma XY; Zhang L
    Zhonghua Liu Xing Bing Xue Za Zhi; 2006 Oct; 27(10):875-9. PubMed ID: 17343182
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Meteorological variables and malaria in a Chinese temperate city: A twenty-year time-series data analysis.
    Zhang Y; Bi P; Hiller JE
    Environ Int; 2010 Jul; 36(5):439-45. PubMed ID: 20409589
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Study of the relationship between the onset of peptic ulcers and meteorological factors.
    Liu D; Gao A; Tang G; Yang W
    Chin Med J (Engl); 2003 Dec; 116(12):1940-2. PubMed ID: 14687489
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bacillary dysentery and meteorological factors in northeastern China: a historical review based on classification and regression trees.
    Guan P; Huang D; Guo J; Wang P; Zhou B
    Jpn J Infect Dis; 2008 Sep; 61(5):356-60. PubMed ID: 18806341
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Application of artificial neural networks in forecasting the number of circulatory system diseases death toll].
    Zhang Y; Shao Y; Shang K; Wang S; Wang J
    Wei Sheng Yan Jiu; 2014 Sep; 43(5):774-8. PubMed ID: 25438533
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The influence of meteorological factors on the occurrence of trauma and motor vehicle collisions in Tokyo.
    Abe T; Tokuda Y; Ohde S; Ishimatsu S; Nakamura T; Birrer RB
    Emerg Med J; 2008 Nov; 25(11):769-72. PubMed ID: 18955623
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Application of artificial neural networks on the prediction of surface ozone concentrations].
    Shen LL; Wang YX; Duan L
    Huan Jing Ke Xue; 2011 Aug; 32(8):2231-5. PubMed ID: 22619942
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong.
    Lu WZ; Wang WJ; Wang XK; Yan SH; Lam JC
    Environ Res; 2004 Sep; 96(1):79-87. PubMed ID: 15261787
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine Learning Prediction Model of Tuberculosis Incidence Based on Meteorological Factors and Air Pollutants.
    Tang N; Yuan M; Chen Z; Ma J; Sun R; Yang Y; He Q; Guo X; Hu S; Zhou J
    Int J Environ Res Public Health; 2023 Feb; 20(5):. PubMed ID: 36900920
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Spatial epidemiological study on malaria epidemics in Hainan province].
    Wen L; Shi RH; Fang LQ; Xu DZ; Li CY; Wang Y; Yuan ZQ; Zhang H
    Zhonghua Liu Xing Bing Xue Za Zhi; 2008 Jun; 29(6):581-5. PubMed ID: 19040042
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Forecasting of ozone episode days by cost-sensitive neural network methods.
    Tsai CH; Chang LC; Chiang HC
    Sci Total Environ; 2009 Mar; 407(6):2124-35. PubMed ID: 19157520
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Application of wavelet neural networks model to forecast incidence of syphilis].
    Zhou XF; Feng ZJ; Yang WZ; Li XS
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2011 Jul; 42(4):544-7. PubMed ID: 21866645
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.