BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 35570961)

  • 1. 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]  

  • 2. The Impact of Gamification-Induced Users' Feelings on the Continued Use of mHealth Apps: A Structural Equation Model With the Self-Determination Theory Approach.
    Wang T; Fan L; Zheng X; Wang W; Liang J; An K; Ju M; Lei J
    J Med Internet Res; 2021 Aug; 23(8):e24546. PubMed ID: 34387550
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Patients and Stakeholders' Perspectives Regarding the Privacy, Security, and Confidentiality of Data Collected via Mobile Health Apps in Saudi Arabia: Protocol for a Mixed Method Study.
    Alhammad N; Alajlani M; Abd-Alrazaq A; Arvanitis T; Epiphaniou G
    JMIR Res Protoc; 2024 May; 13():e54933. PubMed ID: 38776540
    [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. Adoption of Mobile Health Apps in Dietetic Practice: Case Study of Diyetkolik.
    Akdur G; Aydin MN; Akdur G
    JMIR Mhealth Uhealth; 2020 Oct; 8(10):e16911. PubMed ID: 33006566
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study.
    Palos-Sanchez PR; Saura JR; Rios Martin MÁ; Aguayo-Camacho M
    JMIR Mhealth Uhealth; 2021 Sep; 9(9):e27021. PubMed ID: 34499044
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study.
    Schrills T; Kojan L; Gruner M; Calero Valdez A; Franke T
    JMIR Hum Factors; 2024 Jun; 11():e53940. PubMed ID: 38916941
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Understanding and Predicting the Adoption of Fitness Mobile Apps: Evidence from China.
    Wei J; Vinnikova A; Lu L; Xu J
    Health Commun; 2021 Jul; 36(8):950-961. PubMed ID: 32041437
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Examining Protection Motivation and Network Externality Perspective Regarding the Continued Intention to Use M-Health Apps.
    Luo Y; Wang G; Li Y; Ye Q
    Int J Environ Res Public Health; 2021 May; 18(11):. PubMed ID: 34073247
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study.
    Mendez KJW; Budhathoki C; Labrique AB; Sadak T; Tanner EK; Han HR
    JMIR Mhealth Uhealth; 2021 Aug; 9(8):e27926. PubMed ID: 34463637
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Factors influencing mHealth adoption and its impact on mental well-being during COVID-19 pandemic: A SEM-ANN approach.
    Alam MMD; Alam MZ; Rahman SA; Taghizadeh SK
    J Biomed Inform; 2021 Apr; 116():103722. PubMed ID: 33705856
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Understanding the adoption of smartphone apps in dairy herd management.
    Michels M; Bonke V; Musshoff O
    J Dairy Sci; 2019 Oct; 102(10):9422-9434. PubMed ID: 31351731
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The path to sustainability begins with going paperless: Antecedents of intention to use electronic wallet using serial mediation approach.
    Che Nawi N; Husin HS; Said Al-Jahwari N; Zainuddin SA; Khan NU; Hassan AA; Wan Ibrahim WSAA; Mohamed AF; Mohd Nasir NS; Muhamad Hasan MZ
    Heliyon; 2024 Jan; 10(2):e24127. PubMed ID: 38298640
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator.
    Chopdar PK
    Health Policy Technol; 2022 Sep; 11(3):100651. PubMed ID: 35855013
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Adults' Preferences for Behavior Change Techniques and Engagement Features in a Mobile App to Promote 24-Hour Movement Behaviors: Cross-Sectional Survey Study.
    DeSmet A; De Bourdeaudhuij I; Chastin S; Crombez G; Maddison R; Cardon G
    JMIR Mhealth Uhealth; 2019 Dec; 7(12):e15707. PubMed ID: 31859680
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Influence Mechanism of the Affordances of Chronic Disease Management Apps on Continuance Intention: Questionnaire Study.
    Liu Y; Jiang F; Lin P
    JMIR Mhealth Uhealth; 2021 May; 9(5):e21831. PubMed ID: 33983126
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.