BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 36045735)

  • 1. How health motivation moderates the effect of intention and usage of wearable medical devices? An empirical study in Malaysia.
    Hayat N; Zainol NR; Salameh AA; Al Mamun A; Yang Q; Md Salleh MF
    Front Public Health; 2022; 10():931557. PubMed ID: 36045735
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modelling the mass adoption potential of wearable medical devices.
    Yang Q; Al Mamun A; Hayat N; Salleh MFM; Jingzu G; Zainol NR
    PLoS One; 2022; 17(6):e0269256. PubMed ID: 35675373
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Exploring the mass adoption potential of wearable fitness devices in Malaysia.
    Hayat N; Salameh AA; Mamun AA; Alam SS; Zainol NR
    Digit Health; 2023; 9():20552076231180728. PubMed ID: 37325073
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis.
    Yang Q; Al Mamun A; Hayat N; Jingzu G; Hoque ME; Salameh AA
    Front Public Health; 2022; 10():918989. PubMed ID: 35875013
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Envisaging the intention and adoption of electronic health applications among middle-aged and older adults: Evidence from an emerging economy.
    Hayat N; Al Mamun A; Gao J; Yang Q; Hussain WMHW
    Digit Health; 2024; 10():20552076241237499. PubMed ID: 38449679
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting the intention and adoption of wearable payment devices using hybrid SEM-neural network analysis.
    Al Mamun A; Naznen F; Yang M; Yang Q; Wu M; Masukujjaman M
    Sci Rep; 2023 Jul; 13(1):11217. PubMed ID: 37433838
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exploring the smart wearable payment device adoption intention: Using the symmetrical and asymmetrical analysis methods.
    Hayat N; Al Mamun A; Salameh AA; Ali MH; Hussain WMHW; Zainol NR
    Front Psychol; 2022; 13():863544. PubMed ID: 36148091
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Smart technology for healthcare: Exploring the antecedents of adoption intention of healthcare wearable technology.
    Chau KY; Lam MHS; Cheung ML; Tso EKH; Flint SW; Broom DR; Tse G; Lee KY
    Health Psychol Res; 2019 Mar; 7(1):8099. PubMed ID: 31583292
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting the Mass Adoption of eDoctor Apps During COVID-19 in China Using Hybrid SEM-Neural Network Analysis.
    Yang Q; Al Mamun A; Hayat N; Md Salleh MF; Salameh AA; Makhbul ZKM
    Front Public Health; 2022; 10():889410. PubMed ID: 35570961
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Technical attributes, health attribute, consumer attributes and their roles in adoption intention of healthcare wearable technology.
    Zhang M; Luo M; Nie R; Zhang Y
    Int J Med Inform; 2017 Dec; 108():97-109. PubMed ID: 29132639
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach.
    Xinyan Z; Mamun AA; Ali MH; Siyu L; Yang Q; Hayat N
    Front Public Health; 2022; 10():1016065. PubMed ID: 36388276
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting the intention to adopt wearable payment devices in China: The use of hybrid SEM-Neural network approach.
    Luyao L; Al Mamun A; Hayat N; Yang Q; Hoque ME; Zainol NR
    PLoS One; 2022; 17(8):e0273849. PubMed ID: 36040924
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Examining Consumers' Adoption of Wearable Healthcare Technology: The Role of Health Attributes.
    Cheung ML; Chau KY; Lam MHS; Tse G; Ho KY; Flint SW; Broom DR; Tso EKH; Lee KY
    Int J Environ Res Public Health; 2019 Jun; 16(13):. PubMed ID: 31247962
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Wearable Technology Acceptance in Health Care Based on National Culture Differences: Cross-Country Analysis Between Chinese and Swiss Consumers.
    Yang Meier D; Barthelmess P; Sun W; Liberatore F
    J Med Internet Res; 2020 Oct; 22(10):e18801. PubMed ID: 33090108
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting m-health acceptance from the perspective of unified theory of acceptance and use of technology.
    Yang M; Al Mamun A; Gao J; Rahman MK; Salameh AA; Alam SS
    Sci Rep; 2024 Jan; 14(1):339. PubMed ID: 38172184
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model.
    Chen J; Wang T; Fang Z; Wang H
    Front Public Health; 2022; 10():1035398. PubMed ID: 36699866
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Impact of the Moderating Effect of National Culture on Adoption Intention in Wearable Health Care Devices: Meta-analysis.
    Zhang Z; Xia E; Huang J
    JMIR Mhealth Uhealth; 2022 Jun; 10(6):e30960. PubMed ID: 35657654
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The Use of a Technology Acceptance Model (TAM) to Predict Patients' Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability.
    Alsyouf A; Lutfi A; Alsubahi N; Alhazmi FN; Al-Mugheed K; Anshasi RJ; Alharbi NI; Albugami M
    Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36674105
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment.
    Nelson EC; Verhagen T; Vollenbroek-Hutten M; Noordzij ML
    JMIR Mhealth Uhealth; 2019 Aug; 7(8):e12771. PubMed ID: 31400106
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A possible resolution of Malaysian sunset industry by green fertilizer technology: factors affecting the adoption among paddy farmers.
    Adnan N; Nordin SM; Rasli AM
    Environ Sci Pollut Res Int; 2019 Sep; 26(26):27198-27224. PubMed ID: 31321721
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.