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 *

178 related articles for article (PubMed ID: 36454766)

  • 1. Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms.
    Chabane N; Bouaoune A; Tighilt R; Abdar M; Boc A; Lord E; Tahiri N; Mazoure B; Acharya UR; Makarenkov V
    PLoS One; 2022; 17(12):e0278364. PubMed ID: 36454766
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A New Method Combining Pattern Prediction and Preference Prediction for Next Basket Recommendation.
    Chen G; Li Z
    Entropy (Basel); 2021 Oct; 23(11):. PubMed ID: 34828128
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Personalized diversification of complementary recommendations with user preference in online grocery.
    Ma L; Sinha N; Cho JHD; Kumar S; Achan K
    Front Big Data; 2023; 6():974072. PubMed ID: 37034434
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of the Deep Learning Algorithm and Similarity Calculation Model in Optimization of Personalized Online Teaching System of English Course.
    Fang Y; Li J
    Comput Intell Neurosci; 2021; 2021():8249625. PubMed ID: 34956356
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CFSH: Factorizing sequential and historical purchase data for basket recommendation.
    Wang P; Chen J; Niu S
    PLoS One; 2018; 13(10):e0203191. PubMed ID: 30303962
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A study on a recommendation algorithm based on spectral clustering and GRU.
    Liu Q; Yu M; Bai M
    iScience; 2024 Feb; 27(2):108660. PubMed ID: 38313050
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Discriminative clustering via extreme learning machine.
    Huang G; Liu T; Yang Y; Lin Z; Song S; Wu C
    Neural Netw; 2015 Oct; 70():1-8. PubMed ID: 26143036
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation.
    Chatterjee A; Pahari N; Prinz A; Riegler M
    Sci Rep; 2022 Nov; 12(1):19825. PubMed ID: 36400793
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials.
    Sinha P; Spicer A; Delucchi KL; McAuley DF; Calfee CS; Churpek MM
    EBioMedicine; 2021 Dec; 74():103697. PubMed ID: 34861492
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work.
    Salman OH; Taha Z; Alsabah MQ; Hussein YS; Mohammed AS; Aal-Nouman M
    Comput Methods Programs Biomed; 2021 Sep; 209():106357. PubMed ID: 34438223
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Customized Deep Sleep Recommender System Using Hybrid Deep Learning.
    Park JH; Lee JD
    Sensors (Basel); 2023 Jul; 23(15):. PubMed ID: 37571454
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi Clustering Recommendation System for Fashion Retail.
    Bellini P; Palesi LAI; Nesi P; Pantaleo G
    Multimed Tools Appl; 2023; 82(7):9989-10016. PubMed ID: 35043044
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-Criteria Recommendation Systems to Foster Online Grocery.
    Hafez MM; Redondo RPD; Vilas AF; Pazó HO
    Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34071344
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integrating multi-criteria decision-making with hybrid deep learning for sentiment analysis in recommender systems.
    Angamuthu S; Trojovský P
    PeerJ Comput Sci; 2023; 9():e1497. PubMed ID: 37705658
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Data Mining Method of Intelligent Market Management Based on Collaborative Recommendation Algorithm.
    Wu Z; Wang S; Cai Y
    Comput Intell Neurosci; 2022; 2022():8561567. PubMed ID: 36148426
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Measuring Customer Similarity and Identifying Cross-Selling Products by Community Detection.
    Zhang L; Priestley J; DeMaio J; Ni S; Tian X
    Big Data; 2021 Apr; 9(2):132-143. PubMed ID: 33373531
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sub-clustering based recommendation system for stroke patient: Identification of a specific drug class for a given patient.
    Ceskoutsé RFT; Bomgni AB; Gnimpieba Zanfack DR; Agany DDM; Bouetou Bouetou T; Gnimpieba Zohim E
    Comput Biol Med; 2024 Mar; 171():108117. PubMed ID: 38335820
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme.
    Xie J; Liu S; Dai H
    Neural Netw; 2019 Nov; 119():261-272. PubMed ID: 31473577
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation.
    Granda Morales LF; Valdiviezo-Diaz P; Reátegui R; Barba-Guaman L
    J Med Internet Res; 2022 Jul; 24(7):e37233. PubMed ID: 35838763
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.