BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

133 related articles for article (PubMed ID: 29202286)

  • 21. Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction.
    Svane J; Wiktorski T; Ørn S; Eftestøl TC
    MethodsX; 2023 Dec; 11():102381. PubMed ID: 37753351
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans.
    Zhou L; Xia J; Yu L; Wang Y; Shi Y; Cai S; Nie S
    Int J Environ Res Public Health; 2016 Mar; 13(4):355. PubMed ID: 27023573
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Prediction of medical waste generation using SVR, GM (1,1) and ARIMA models: a case study for megacity Istanbul.
    Ceylan Z; Bulkan S; Elevli S
    J Environ Health Sci Eng; 2020 Dec; 18(2):687-697. PubMed ID: 33312594
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Multicity study of air pollution and mortality in Latin America (the ESCALA study).
    Romieu I; Gouveia N; Cifuentes LA; de Leon AP; Junger W; Vera J; Strappa V; Hurtado-Díaz M; Miranda-Soberanis V; Rojas-Bracho L; Carbajal-Arroyo L; Tzintzun-Cervantes G;
    Res Rep Health Eff Inst; 2012 Oct; (171):5-86. PubMed ID: 23311234
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Modeling and Forecasting Monkeypox Cases Using Stochastic Models.
    Qureshi M; Khan S; Bantan RAR; Daniyal M; Elgarhy M; Marzo RR; Lin Y
    J Clin Med; 2022 Nov; 11(21):. PubMed ID: 36362783
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A CEEMD-ARIMA-SVM model with structural breaks to forecast the crude oil prices linked with extreme events.
    Cheng Y; Yi J; Yang X; Lai KK; Seco L
    Soft comput; 2022; 26(17):8537-8551. PubMed ID: 35818583
    [TBL] [Abstract][Full Text] [Related]  

  • 27. [Establishing and applying of autoregressive integrated moving average model to predict the incidence rate of dysentery in Shanghai].
    Li J; Wu HY; Li YT; Jin HM; Gu BK; Yuan ZA
    Zhonghua Yu Fang Yi Xue Za Zhi; 2010 Jan; 44(1):48-53. PubMed ID: 20388364
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia.
    Aboagye-Sarfo P; Mai Q; Sanfilippo FM; Preen DB; Stewart LM; Fatovich DM
    J Biomed Inform; 2015 Oct; 57():62-73. PubMed ID: 26151668
    [TBL] [Abstract][Full Text] [Related]  

  • 29. [Study on the ARIMA model application to predict echinococcosis cases in China].
    En-Li T; Zheng-Feng W; Wen-Ce Z; Shi-Zhu L; Yan L; Lin A; Yu-Chun C; Xue-Jiao T; Shun-Xian Z; Zhi-Sheng D; Chun-Li Y; Jia-Xu C; Wei H; Xiao-Nong Z; Li-Guang T
    Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2018 Feb; 30(1):47-53. PubMed ID: 29536707
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Forecasting value-at-risk of crude oil futures using a hybrid ARIMA-SVR-POT model.
    Zhang C; Zhou X
    Heliyon; 2024 Jan; 10(1):e23358. PubMed ID: 38163246
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Comparison of Two Hybrid Models for Forecasting the Incidence of Hemorrhagic Fever with Renal Syndrome in Jiangsu Province, China.
    Wu W; Guo J; An S; Guan P; Ren Y; Xia L; Zhou B
    PLoS One; 2015; 10(8):e0135492. PubMed ID: 26270814
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Part 5. Public health and air pollution in Asia (PAPA): a combined analysis of four studies of air pollution and mortality.
    Wong CM; Vichit-Vadakan N; Vajanapoom N; Ostro B; Thach TQ; Chau PY; Chan EK; Chung RY; Ou CQ; Yang L; Peiris JS; Thomas GN; Lam TH; Wong TW; Hedley AJ; Kan H; Chen B; Zhao N; London SJ; Song G; Chen G; Zhang Y; Jiang L; Qian Z; He Q; Lin HM; Kong L; Zhou D; Liang S; Zhu Z; Liao D; Liu W; Bentley CM; Dan J; Wang B; Yang N; Xu S; Gong J; Wei H; Sun H; Qin Z;
    Res Rep Health Eff Inst; 2010 Nov; (154):377-418. PubMed ID: 21446215
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Forecasting COVID-19 recovered cases with Artificial Neural Networks to enable designing an effective blood supply chain.
    Ayyildiz E; Erdogan M; Taskin A
    Comput Biol Med; 2021 Dec; 139():105029. PubMed ID: 34794082
    [TBL] [Abstract][Full Text] [Related]  

  • 34. An application of ARIMA model to predict submicron particle concentrations from meteorological factors at a busy roadside in Hangzhou, China.
    Jian L; Zhao Y; Zhu YP; Zhang MB; Bertolatti D
    Sci Total Environ; 2012 Jun; 426():336-45. PubMed ID: 22522077
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A novel Hybrid Wavelet-Locally Weighted Linear Regression (W-LWLR) Model for Electrical Conductivity (EC) Prediction in Surface Water.
    Ahmadianfar I; Jamei M; Chu X
    J Contam Hydrol; 2020 Jun; 232():103641. PubMed ID: 32408076
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Part 3. Estimating the effects of air pollution on mortality in Bangkok, Thailand.
    Vichit-Vadakan N; Vajanapoom N; Ostro B;
    Res Rep Health Eff Inst; 2010 Nov; (154):231-68. PubMed ID: 21446213
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A method for calibrating measurement data of a micro air quality monitor based on MLR-BRT-ARIMA combined model.
    Liu B; Jiang P
    RSC Adv; 2023 Jun; 13(26):17495-17507. PubMed ID: 37312996
    [TBL] [Abstract][Full Text] [Related]  

  • 38. The analysis of seasonal air pollution pattern with application of neural networks.
    Wesolowski M; Suchacz B; Halkiewicz J
    Anal Bioanal Chem; 2006 Jan; 384(2):458-67. PubMed ID: 16315014
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Time-series analysis on human brucellosis during 2004-2013 in Shandong Province, China.
    Yang L; Bi ZW; Kou ZQ; Li XJ; Zhang M; Wang M; Zhang LY; Zhao ZT
    Zoonoses Public Health; 2015 May; 62(3):228-35. PubMed ID: 25043064
    [TBL] [Abstract][Full Text] [Related]  

  • 40. COVID-19 incidence and mortality in Nigeria: gender based analysis.
    Olusola-Makinde OO; Makinde OS
    PeerJ; 2021; 9():e10613. PubMed ID: 33614262
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.