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 *

126 related articles for article (PubMed ID: 38275449)

  • 1. Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries.
    Mengash HA; Alruwais N; Kouki F; Singla C; Abd Elhameed ES; Mahmud A
    Biomimetics (Basel); 2023 Dec; 9(1):. PubMed ID: 38275449
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Customer churn prediction using composite deep learning technique.
    Khattak A; Mehak Z; Ahmad H; Asghar MU; Asghar MZ; Khan A
    Sci Rep; 2023 Oct; 13(1):17294. PubMed ID: 37828074
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Enhancing customer retention in telecom industry with machine learning driven churn prediction.
    Sikri A; Jameel R; Idrees SM; Kaur H
    Sci Rep; 2024 Jun; 14(1):13097. PubMed ID: 38849493
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning based customer churn prediction in home appliance rental business.
    Suh Y
    J Big Data; 2023; 10(1):41. PubMed ID: 37033202
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction and Big Data Impact Analysis of Telecom Churn by Backpropagation Neural Network Algorithm from the Perspective of Business Model.
    Xu J; Liu J; Yao T; Li Y
    Big Data; 2023 Oct; 11(5):355-368. PubMed ID: 36656558
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Early warning of telecom enterprise customer churn based on ensemble learning.
    Zhou Y; Chen W; Sun X; Yang D
    PLoS One; 2023; 18(10):e0292466. PubMed ID: 37819986
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Research on customer churn prediction and model interpretability analysis.
    Peng K; Peng Y; Li W
    PLoS One; 2023; 18(12):e0289724. PubMed ID: 38064499
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction.
    Thakkar HK; Desai A; Ghosh S; Singh P; Sharma G
    Comput Intell Neurosci; 2022; 2022():9028580. PubMed ID: 35103057
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry.
    Fakhar Bilal S; Ali Almazroi A; Bashir S; Hassan Khan F; Ali Almazroi A
    PeerJ Comput Sci; 2022; 8():e854. PubMed ID: 35494841
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection.
    Sana JK; Abedin MZ; Rahman MS; Rahman MS
    PLoS One; 2022; 17(12):e0278095. PubMed ID: 36454903
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Customer churn prediction for telecommunication industry: A Malaysian Case Study.
    Mustafa N; Sook Ling L; Abdul Razak SF
    F1000Res; 2021; 10():1274. PubMed ID: 35528953
    [No Abstract]   [Full Text] [Related]  

  • 12. Artificial Intelligence Based Customer Churn Prediction Model for Business Markets.
    Faritha Banu J; Neelakandan S; Geetha BT; Selvalakshmi V; Umadevi A; Martinson EO
    Comput Intell Neurosci; 2022; 2022():1703696. PubMed ID: 36238670
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Negative correlation learning for customer churn prediction: a comparison study.
    Rodan A; Fayyoumi A; Faris H; Alsakran J; Al-Kadi O
    ScientificWorldJournal; 2015; 2015():473283. PubMed ID: 25879060
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Churn prediction in telecommunication industry using kernel Support Vector Machines.
    Y NN; Ly TV; Son DVT
    PLoS One; 2022; 17(5):e0267935. PubMed ID: 35609023
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation.
    Fatima G; Khan S; Aadil F; Kim DH; Atteia G; Alabdulhafith M
    PeerJ Comput Sci; 2024; 10():e1756. PubMed ID: 38196952
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study.
    Kwon H; Kim HH; An J; Lee JH; Park YR
    J Med Internet Res; 2021 Jan; 23(1):e22184. PubMed ID: 33404511
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Customer retention and churn prediction in the telecommunication industry: a case study on a Danish university.
    Saleh S; Saha S
    SN Appl Sci; 2023; 5(7):173. PubMed ID: 37305405
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using the AraBERT Model for Customer Satisfaction Classification of Telecom Sectors in Saudi Arabia.
    Aftan S; Shah H
    Brain Sci; 2023 Jan; 13(1):. PubMed ID: 36672129
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Propension to customer churn in a financial institution: a machine learning approach.
    de Lima Lemos RA; Silva TC; Tabak BM
    Neural Comput Appl; 2022; 34(14):11751-11768. PubMed ID: 35281625
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Profit-Based Model Selection for Customer Retention Using Individual Customer Lifetime Values.
    Óskarsdóttir M; Baesens B; Vanthienen J
    Big Data; 2018 Mar; 6(1):53-65. PubMed ID: 29570412
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.