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 *

153 related articles for article (PubMed ID: 32217385)

  • 21. Development of predictive models for determining enterococci levels at Gulf Coast beaches.
    Zhang Z; Deng Z; Rusch KA
    Water Res; 2012 Feb; 46(2):465-74. PubMed ID: 22130001
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Prediction and Optimization of Surface Roughness in a Turning Process Using the ANFIS-QPSO Method.
    Alajmi MS; Almeshal AM
    Materials (Basel); 2020 Jul; 13(13):. PubMed ID: 32635519
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction.
    Claywell R; Nadai L; Felde I; Ardabili S; Mosavi A
    Entropy (Basel); 2020 Oct; 22(11):. PubMed ID: 33286960
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill.
    Abunama T; Othman F; Ansari M; El-Shafie A
    Environ Sci Pollut Res Int; 2019 Feb; 26(4):3368-3381. PubMed ID: 30511225
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review.
    Ghafouri-Fard S; Mohammad-Rahimi H; Motie P; Minabi MAS; Taheri M; Nateghinia S
    Heliyon; 2021 Oct; 7(10):e08143. PubMed ID: 34660935
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Application of image processing and soft computing strategies for non-destructive estimation of plum leaf area.
    Sabouri A; Bakhshipour A; Poornoori M; Abouzari A
    PLoS One; 2022; 17(7):e0271201. PubMed ID: 35816484
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Predicting sperm production of young dairy bulls using collection history and management factors.
    Quick AE; Meronek J; Amburn K; Rozeboom K; Weigel KA
    J Dairy Sci; 2021 May; 104(5):5817-5826. PubMed ID: 33663847
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comparing three types of data-driven models for monthly evapotranspiration prediction under heterogeneous climatic conditions.
    Aghelpour P; Varshavian V; Khodamorad Pour M; Hamedi Z
    Sci Rep; 2022 Oct; 12(1):17363. PubMed ID: 36253432
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Prediction of effect of natural antioxidant compounds on hazelnut oil oxidation by adaptive neuro-fuzzy inference system and artificial neural network.
    Yalcin H; Ozturk I; Karaman S; Kisi O; Sagdic O; Kayacier A
    J Food Sci; 2011 May; 76(4):T112-20. PubMed ID: 22417373
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Solid waste forecasting using modified ANFIS modeling.
    Younes MK; Nopiah ZM; Basri NE; Basri H; Abushammala MF; K N A M
    J Air Waste Manag Assoc; 2015 Oct; 65(10):1229-38. PubMed ID: 26223583
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Novel RSSI Prediction Using Imperialist Competition Algorithm (ICA), Radial Basis Function (RBF) and Firefly Algorithm (FFA) in Wireless Networks.
    Goudarzi S; Haslina Hassan W; Abdalla Hashim AH; Soleymani SA; Anisi MH; Zakaria OM
    PLoS One; 2016; 11(7):e0151355. PubMed ID: 27438600
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete.
    Dao DV; Ly HB; Trinh SH; Le TT; Pham BT
    Materials (Basel); 2019 Mar; 12(6):. PubMed ID: 30934566
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparison of linear and non-linear models for predicting energy expenditure from raw accelerometer data.
    Montoye AHK; Begum M; Henning Z; Pfeiffer KA
    Physiol Meas; 2017 Feb; 38(2):343-357. PubMed ID: 28107205
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Letter to the editor "comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes".
    Başakın EE; Ekmekcioğlu Ö; Mohammadi B
    Environ Sci Pollut Res Int; 2020 Jun; 27(17):22131-22134. PubMed ID: 32281064
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Selection and performance estimation of Green Lean Six Sigma Projects: a hybrid approach of technology readiness level, data envelopment analysis, and ANFIS.
    Ershadi MJ; Qhanadi Taghizadeh O; Hadji Molana SM
    Environ Sci Pollut Res Int; 2021 Jun; 28(23):29394-29411. PubMed ID: 33559076
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Research on air pollutant concentration prediction method based on self-adaptive neuro-fuzzy weighted extreme learning machine.
    Li Y; Jiang P; She Q; Lin G
    Environ Pollut; 2018 Oct; 241():1115-1127. PubMed ID: 30029320
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Forecasting municipal solid waste generation using artificial intelligence modelling approaches.
    Abbasi M; El Hanandeh A
    Waste Manag; 2016 Oct; 56():13-22. PubMed ID: 27297046
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Prediction of environmental indicators in land leveling using artificial intelligence techniques.
    Alzoubi I; Delavar MR; Mirzaei F; Arrabi BN
    J Environ Health Sci Eng; 2018 Jun; 16(1):65-80. PubMed ID: 30258643
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison of ANFIS and ANN modeling for predicting the water absorption behavior of polyurethane treated polyester fabric.
    Sarkar J; Prottoy ZH; Bari MT; Al Faruque MA
    Heliyon; 2021 Sep; 7(9):e08000. PubMed ID: 34585015
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comparative Analysis of Hybrid Models for Prediction of BP Reactivity to Crossed Legs.
    Kaur G; Arora AS; Jain VK
    J Healthc Eng; 2017; 2017():2187904. PubMed ID: 29317994
    [TBL] [Abstract][Full Text] [Related]  

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