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 *

129 related articles for article (PubMed ID: 30130210)

  • 1. RuleMatrix: Visualizing and Understanding Classifiers with Rules.
    Ming Y; Qu H; Bertini E
    IEEE Trans Vis Comput Graph; 2018 Aug; ():. PubMed ID: 30130210
    [TBL] [Abstract][Full Text] [Related]  

  • 2. KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation.
    Li H; Wang Y; Zhang S; Song Y; Qu H
    IEEE Trans Vis Comput Graph; 2022 Jan; 28(1):195-205. PubMed ID: 34587080
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Learning Cognitive-Test-Based Interpretable Rules for Prediction and Early Diagnosis of Dementia Using Neural Networks.
    Wang Z; Wang J; Liu N; Liu C; Li X; Dong L; Zhang R; Mao C; Duan Z; Zhang W; Gao J; Wang J;
    J Alzheimers Dis; 2022; 90(2):609-624. PubMed ID: 36155512
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review.
    Kierner S; Kucharski J; Kierner Z
    J Biomed Inform; 2023 Aug; 144():104428. PubMed ID: 37355025
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A new machine learning model based on induction of rules for autism detection.
    Thabtah F; Peebles D
    Health Informatics J; 2020 Mar; 26(1):264-286. PubMed ID: 30693818
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Visual Exploration of Machine Learning Model Behavior with Hierarchical Surrogate Rule Sets.
    Yuan J; Barr B; Overton K; Bertini E
    IEEE Trans Vis Comput Graph; 2022 Nov; PP():. PubMed ID: 36327192
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making.
    Hoque MN; Mueller K
    IEEE Trans Vis Comput Graph; 2022 Dec; 28(12):4728-4740. PubMed ID: 34347601
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 9. DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models.
    Cheng F; Ming Y; Qu H
    IEEE Trans Vis Comput Graph; 2021 Feb; 27(2):1438-1447. PubMed ID: 33074811
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Interpretable machine learning models for hospital readmission prediction: a two-step extracted regression tree approach.
    Gao X; Alam S; Shi P; Dexter F; Kong N
    BMC Med Inform Decis Mak; 2023 Jun; 23(1):104. PubMed ID: 37277767
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ShapeShop: Towards Understanding Deep Learning Representations via Interactive Experimentation.
    Hohman F; Hodas N; Chau DH
    Ext Abstr Hum Factors Computing Syst; 2017 May; 2017():1694-1699. PubMed ID: 29354810
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.
    Chen H; Cohen E; Wilson D; Alfred M
    JMIR Hum Factors; 2024 Jan; 11():e53378. PubMed ID: 38271086
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making.
    Zytek A; Liu D; Vaithianathan R; Veeramachaneni K
    IEEE Trans Vis Comput Graph; 2022 Jan; 28(1):1161-1171. PubMed ID: 34587081
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Obtaining interpretable fuzzy classification rules from medical data.
    Nauck D; Kruse R
    Artif Intell Med; 1999 Jun; 16(2):149-69. PubMed ID: 10378442
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability.
    Charlton CE; Poon MTC; Brennan PM; Fleuriot JD
    Comput Methods Programs Biomed; 2023 May; 233():107482. PubMed ID: 36947980
    [TBL] [Abstract][Full Text] [Related]  

  • 16. R.ROSETTA: an interpretable machine learning framework.
    Garbulowski M; Diamanti K; Smolińska K; Baltzer N; Stoll P; Bornelöv S; Øhrn A; Feuk L; Komorowski J
    BMC Bioinformatics; 2021 Mar; 22(1):110. PubMed ID: 33676405
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Driving maneuver classification from time series data: a rule based machine learning approach.
    Haque MM; Sarker S; Dewan MAA
    Appl Intell (Dordr); 2022; 52(14):16900-16915. PubMed ID: 35370359
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Visualization of diversity in large multivariate data sets.
    Pham T; Hess R; Ju C; Zhang E; Metoyer R
    IEEE Trans Vis Comput Graph; 2010; 16(6):1053-62. PubMed ID: 20975143
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Why was this cited? Explainable machine learning applied to COVID-19 research literature.
    Beranová L; Joachimiak MP; Kliegr T; Rabby G; Sklenák V
    Scientometrics; 2022; 127(5):2313-2349. PubMed ID: 35431364
    [TBL] [Abstract][Full Text] [Related]  

  • 20. PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines.
    Ono JP; Castelo S; Lopez R; Bertini E; Freire J; Silva C
    IEEE Trans Vis Comput Graph; 2021 Feb; 27(2):390-400. PubMed ID: 33048694
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.