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 *

152 related articles for article (PubMed ID: 27524999)

  • 21. Drug-Drug Interaction Extraction via Convolutional Neural Networks.
    Liu S; Tang B; Chen Q; Wang X
    Comput Math Methods Med; 2016; 2016():6918381. PubMed ID: 26941831
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Data Mining and Machine Learning Methods for Dementia Research.
    Li R
    Methods Mol Biol; 2018; 1750():363-370. PubMed ID: 29512086
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Clustering: a neural network approach.
    Du KL
    Neural Netw; 2010 Jan; 23(1):89-107. PubMed ID: 19758784
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Forecasting the monthly incidence rate of brucellosis in west of Iran using time series and data mining from 2010 to 2019.
    Bagheri H; Tapak L; Karami M; Hosseinkhani Z; Najari H; Karimi S; Cheraghi Z
    PLoS One; 2020; 15(5):e0232910. PubMed ID: 32396582
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A soft computing approach for diabetes disease classification.
    Nilashi M; Bin Ibrahim O; Mardani A; Ahani A; Jusoh A
    Health Informatics J; 2018 Dec; 24(4):379-393. PubMed ID: 30376769
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Carrying Position-Independent Ensemble Machine Learning Step-Counting Algorithm for Smartphones.
    Song Z; Park HJ; Thapa N; Yang JG; Harada K; Lee S; Shimada H; Park H; Park BK
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632145
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Modeling of Compressive Strength of Self-Compacting Rubberized Concrete Using Machine Learning.
    Kovačević M; Lozančić S; Nyarko EK; Hadzima-Nyarko M
    Materials (Basel); 2021 Aug; 14(15):. PubMed ID: 34361540
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A general procedure to generate models for urban environmental-noise pollution using feature selection and machine learning methods.
    Torija AJ; Ruiz DP
    Sci Total Environ; 2015 Feb; 505():680-93. PubMed ID: 25461071
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Bidirectional extreme learning machine for regression problem and its learning effectiveness.
    Yang Y; Wang Y; Yuan X
    IEEE Trans Neural Netw Learn Syst; 2012 Sep; 23(9):1498-505. PubMed ID: 24807932
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Single-trial classification of event-related potentials in rapid serial visual presentation tasks using supervised spatial filtering.
    Cecotti H; Eckstein MP; Giesbrecht B
    IEEE Trans Neural Netw Learn Syst; 2014 Nov; 25(11):2030-42. PubMed ID: 25330426
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Comparison of machine learning and traditional classifiers in glaucoma diagnosis.
    Chan K; Lee TW; Sample PA; Goldbaum MH; Weinreb RN; Sejnowski TJ
    IEEE Trans Biomed Eng; 2002 Sep; 49(9):963-74. PubMed ID: 12214886
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Error minimized extreme learning machine with growth of hidden nodes and incremental learning.
    Feng G; Huang GB; Lin Q; Gay R
    IEEE Trans Neural Netw; 2009 Aug; 20(8):1352-7. PubMed ID: 19596632
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Machine learning models in breast cancer survival prediction.
    Montazeri M; Montazeri M; Montazeri M; Beigzadeh A
    Technol Health Care; 2016; 24(1):31-42. PubMed ID: 26409558
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Effective neural network training with adaptive learning rate based on training loss.
    Takase T; Oyama S; Kurihara M
    Neural Netw; 2018 May; 101():68-78. PubMed ID: 29494873
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A single vs. multi-sensor approach to enhanced detection of smartphone placement.
    Guiry JJ; Karr CJ; van de Ven P; Nelson J; Begale M
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3691-4. PubMed ID: 25570792
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparison of l₁-Norm SVR and Sparse Coding Algorithms for Linear Regression.
    Zhang Q; Hu X; Zhang B
    IEEE Trans Neural Netw Learn Syst; 2015 Aug; 26(8):1828-33. PubMed ID: 25532195
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards.
    Churpek MM; Yuen TC; Winslow C; Meltzer DO; Kattan MW; Edelson DP
    Crit Care Med; 2016 Feb; 44(2):368-74. PubMed ID: 26771782
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Driver behavior profiling: An investigation with different smartphone sensors and machine learning.
    Ferreira J; Carvalho E; Ferreira BV; de Souza C; Suhara Y; Pentland A; Pessin G
    PLoS One; 2017; 12(4):e0174959. PubMed ID: 28394925
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Robust support vector machine-trained fuzzy system.
    Forghani Y; Yazdi HS
    Neural Netw; 2014 Feb; 50():154-65. PubMed ID: 24316676
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling.
    Antosik-Wójcińska AZ; Dominiak M; Chojnacka M; Kaczmarek-Majer K; Opara KR; Radziszewska W; Olwert A; Święcicki Ł
    Int J Med Inform; 2020 Jun; 138():104131. PubMed ID: 32305023
    [TBL] [Abstract][Full Text] [Related]  

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