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 *

105 related articles for article (PubMed ID: 25309142)

  • 1. Conditional Anomaly Detection with Soft Harmonic Functions.
    Valko M; Kveton B; Valizadegan H; Cooper GF; Hauskrecht M
    Proc IEEE Int Conf Data Min; 2011; 2011():735-743. PubMed ID: 25309142
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Conditional anomaly detection methods for patient-management alert systems.
    Valko M; Cooper G; Seybert A; Visweswaran S; Saul M; Hauskrecht M
    Proc Int Conf Mach Learn; 2008 Jul; 2008():. PubMed ID: 25392850
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Distance Metric Learning for Conditional Anomaly Detection.
    Valko M; Hauskrecht M
    Proc Int Fla AI Res Soc Conf; 2008; 21():684-689. PubMed ID: 20485452
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Conditional outlier detection for clinical alerting.
    Hauskrecht M; Valko M; Batal I; Clermont G; Visweswaran S; Cooper GF
    AMIA Annu Symp Proc; 2010 Nov; 2010():286-90. PubMed ID: 21346986
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection and explanation of anomalies in healthcare data.
    Samariya D; Ma J; Aryal S; Zhao X
    Health Inf Sci Syst; 2023 Dec; 11(1):20. PubMed ID: 37035724
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency.
    Gribbestad M; Hassan MU; A Hameed I; Sundli K
    Entropy (Basel); 2021 Jan; 23(1):. PubMed ID: 33435637
    [TBL] [Abstract][Full Text] [Related]  

  • 7. On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights.
    Zhao L; Akoglu L
    Big Data; 2023 Jun; 11(3):151-180. PubMed ID: 34870450
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort Study.
    Bijlani N; Nilforooshan R; Kouchaki S
    JMIR Aging; 2022 Sep; 5(3):e38211. PubMed ID: 36121687
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism.
    Woldaregay AZ; Launonen IK; Albers D; Igual J; Årsand E; Hartvigsen G
    J Med Internet Res; 2020 Aug; 22(8):e18912. PubMed ID: 32784179
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A clustering approach for detecting implausible observation values in electronic health records data.
    Estiri H; Klann JG; Murphy SN
    BMC Med Inform Decis Mak; 2019 Jul; 19(1):142. PubMed ID: 31337390
    [TBL] [Abstract][Full Text] [Related]  

  • 11. FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection.
    Noto K; Brodley C; Slonim D
    Data Min Knowl Discov; 2012; 25(1):109-133. PubMed ID: 22639542
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detecting anomalous sequences in electronic health records using higher-order tensor networks.
    Niu H; Omitaomu OA; Langston MA; Olama M; Ozmen O; Klasky HB; Laurio A; Sauer B; Ward M; Nebeker J
    J Biomed Inform; 2022 Nov; 135():104219. PubMed ID: 36243337
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ordinal Regression for Direction-Related Anomaly Detection.
    Tu J; Liu H; Li C
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6821-6834. PubMed ID: 36269929
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Efficient and Robust Unsupervised Anomaly Detection Method Using Ensemble Random Projection in Surveillance Videos.
    Hu J; Zhu E; Wang S; Liu X; Guo X; Yin J
    Sensors (Basel); 2019 Sep; 19(19):. PubMed ID: 31554333
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Anomaly detection based on sensor data in petroleum industry applications.
    Martí L; Sanchez-Pi N; Molina JM; Garcia AC
    Sensors (Basel); 2015 Jan; 15(2):2774-97. PubMed ID: 25633599
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian.
    Cheng X; Mishne G
    SIAM J Imaging Sci; 2020; 13(2):1015-1048. PubMed ID: 34136062
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Distributed Online One-Class Support Vector Machine for Anomaly Detection Over Networks.
    Miao X; Liu Y; Zhao H; Li C
    IEEE Trans Cybern; 2019 Apr; 49(4):1475-1488. PubMed ID: 29994292
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data.
    Goldstein M; Uchida S
    PLoS One; 2016; 11(4):e0152173. PubMed ID: 27093601
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Visual Analytics Framework for the Detection of Anomalous Call Stack Trees in High Performance Computing Applications.
    Xie C; Xu W; Mueller K
    IEEE Trans Vis Comput Graph; 2018 Aug; ():. PubMed ID: 30136972
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis.
    Hsiao KJ; Xu KS; Calder J; Hero AO
    IEEE Trans Neural Netw Learn Syst; 2016 Jun; 27(6):1307-21. PubMed ID: 26336154
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.