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 *

133 related articles for article (PubMed ID: 35228648)

  • 1. Feature engineering solution with structured query language analytic functions in detecting electricity frauds using machine learning.
    Oprea SV; Bâra A
    Sci Rep; 2022 Feb; 12(1):3257. PubMed ID: 35228648
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Novel Feature-Engineered-NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data.
    Hussain S; Mustafa MW; Al-Shqeerat KHA; Saeed F; Al-Rimy BAS
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960516
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach.
    Hu T; Guo Q; Shen X; Sun H; Wu R; Xi H
    IEEE Trans Neural Netw Learn Syst; 2019 Nov; 30(11):3287-3299. PubMed ID: 30714931
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism.
    Ashfaq T; Khalid R; Yahaya AS; Aslam S; Azar AT; Alsafari S; Hameed IA
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236255
    [TBL] [Abstract][Full Text] [Related]  

  • 5. RHSOFS: Feature Selection Using the Rock Hyrax Swarm Optimization Algorithm for Credit Card Fraud Detection System.
    Padhi BK; Chakravarty S; Naik B; Pattanayak RM; Das H
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502020
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Oppositional Cat Swarm Optimization-Based Feature Selection Approach for Credit Card Fraud Detection.
    Prabhakaran N; Nedunchelian R
    Comput Intell Neurosci; 2023; 2023():2693022. PubMed ID: 36688222
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Healthcare insurance fraud detection using data mining.
    Hamid Z; Khalique F; Mahmood S; Daud A; Bukhari A; Alshemaimri B
    BMC Med Inform Decis Mak; 2024 Apr; 24(1):112. PubMed ID: 38671513
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detecting medical prescriptions suspected of fraud using an unsupervised data mining algorithm.
    Haddad Soleymani M; Yaseri M; Farzadfar F; Mohammadpour A; Sharifi F; Kabir MJ
    Daru; 2018 Dec; 26(2):209-214. PubMed ID: 30460618
    [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. A Novel Unsupervised Machine Learning-Based Method for Chatter Detection in the Milling of Thin-Walled Parts.
    Wang R; Song Q; Liu Z; Ma H; Gupta MK; Liu Z
    Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502670
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Feature generation and contribution comparison for electronic fraud detection.
    Ti YW; Hsin YY; Dai TS; Huang MC; Liu LC
    Sci Rep; 2022 Oct; 12(1):18042. PubMed ID: 36302818
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms.
    Senan EM; Abunadi I; Jadhav ME; Fati SM
    Comput Math Methods Med; 2021; 2021():8500314. PubMed ID: 34966445
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A multiple kernel density clustering algorithm for incomplete datasets in bioinformatics.
    Liao L; Li K; Li K; Yang C; Tian Q
    BMC Syst Biol; 2018 Nov; 12(Suppl 6):111. PubMed ID: 30463619
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning based approach to exam cheating detection.
    Kamalov F; Sulieman H; Santandreu Calonge D
    PLoS One; 2021; 16(8):e0254340. PubMed ID: 34347794
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying frauds and anomalies in Medicare-B dataset.
    Jiwon Seo ; Mendelevitch O
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3664-3667. PubMed ID: 29060693
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Social Reminiscence in Older Adults' Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning.
    Ferrario A; Demiray B; Yordanova K; Luo M; Martin M
    J Med Internet Res; 2020 Sep; 22(9):e19133. PubMed ID: 32866108
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DREAMER: a computational framework to evaluate readiness of datasets for machine learning.
    Ahangaran M; Zhu H; Li R; Yin L; Jang J; Chaudhry AP; Farrer LA; Au R; Kolachalama VB
    BMC Med Inform Decis Mak; 2024 Jun; 24(1):152. PubMed ID: 38831432
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Intrusion detection system using Online Sequence Extreme Learning Machine (OS-ELM) in advanced metering infrastructure of smart grid.
    Li Y; Qiu R; Jing S
    PLoS One; 2018; 13(2):e0192216. PubMed ID: 29485990
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Financial Fraud Detection and Prediction in Listed Companies Using SMOTE and Machine Learning Algorithms.
    Zhao Z; Bai T
    Entropy (Basel); 2022 Aug; 24(8):. PubMed ID: 36010821
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Credit card fraud detection using a hierarchical behavior-knowledge space model.
    Nandi AK; Randhawa KK; Chua HS; Seera M; Lim CP
    PLoS One; 2022; 17(1):e0260579. PubMed ID: 35051184
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.