175 related articles for article (PubMed ID: 35627647)
1. Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand "ThaiChana".
Ong AKS; Chuenyindee T; Prasetyo YT; Nadlifatin R; Persada SF; Gumasing MJJ; German JD; Robas KPE; Young MN; Sittiwatethanasiri T
Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627647
[TBL] [Abstract][Full Text] [Related]
2. Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing "MorChana" in Thailand.
Ong AKS; Prasetyo YT; Yuduang N; Nadlifatin R; Persada SF; Robas KPE; Chuenyindee T; Buaphiban T
Int J Environ Res Public Health; 2022 Jun; 19(13):. PubMed ID: 35805634
[TBL] [Abstract][Full Text] [Related]
3. Factors Affecting the Perceived Usability of the COVID-19 Contact-Tracing Application "Thai Chana" during the Early COVID-19 Omicron Period.
Chuenyindee T; Ong AKS; Prasetyo YT; Persada SF; Nadlifatin R; Sittiwatethanasiri T
Int J Environ Res Public Health; 2022 Apr; 19(7):. PubMed ID: 35410063
[TBL] [Abstract][Full Text] [Related]
4. Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application "MorChana" in Thailand: UTAUT2 Approach.
Yuduang N; Ong AKS; Prasetyo YT; Chuenyindee T; Kusonwattana P; Limpasart W; Sittiwatethanasiri T; Gumasing MJJ; German JD; Nadlifatin R
Int J Environ Res Public Health; 2022 May; 19(9):. PubMed ID: 35565040
[TBL] [Abstract][Full Text] [Related]
5. Determining factors affecting the perceived usability of air pollution detection mobile application "AirVisual" in Thailand: A structural equation model forest classifier approach.
Ong AKS; Prasetyo YT; Kusonwattana P; Mariñas KA; Yuduang N; Chuenyindee T; Robas KPE; Persada SF; Nadlifatin R
Heliyon; 2022 Dec; 8(12):e12538. PubMed ID: 36619460
[TBL] [Abstract][Full Text] [Related]
6. Utilizing Structural Equation Modeling-Artificial Neural Network Hybrid Approach in Determining Factors Affecting Perceived Usability of Mobile Mental Health Application in the Philippines.
Yuduang N; Ong AKS; Vista NB; Prasetyo YT; Nadlifatin R; Persada SF; Gumasing MJJ; German JD; Robas KPE; Chuenyindee T; Buaphiban T
Int J Environ Res Public Health; 2022 May; 19(11):. PubMed ID: 35682313
[TBL] [Abstract][Full Text] [Related]
7. A machine learning ensemble approach to predicting factors affecting the intention and usage behavior towards online groceries applications in the Philippines.
Gumasing MJJ; Ong AKS; Sy MAPC; Prasetyo YT; Persada SF
Heliyon; 2023 Oct; 9(10):e20644. PubMed ID: 37818002
[TBL] [Abstract][Full Text] [Related]
8. Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach.
German JD; Ong AKS; Perwira Redi AAN; Robas KPE
Heliyon; 2022 Nov; 8(11):e11382. PubMed ID: 36349283
[TBL] [Abstract][Full Text] [Related]
9. App Use and Usability of a Barcode-Based Digital Platform to Augment COVID-19 Contact Tracing: Postpilot Survey and Paradata Analysis.
Scherr TF; DeSousa JM; Moore CP; Hardcastle A; Wright DW
JMIR Public Health Surveill; 2021 Mar; 7(3):e25859. PubMed ID: 33630745
[TBL] [Abstract][Full Text] [Related]
10. The perceived usability of the learning management system during the COVID-19 pandemic: Integrating system usability scale, technology acceptance model, and task-technology fit.
Chuenyindee T; Montenegro LD; Ong AKS; Prasetyo YT; Nadlifatin R; Ayuwati ID; Sittiwatethanasiri T; Robas KPE
Work; 2022; 73(1):41-58. PubMed ID: 35871387
[TBL] [Abstract][Full Text] [Related]
11. Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis.
Alkhalifah A; Bukar UA
Front Public Health; 2022; 10():847184. PubMed ID: 35685757
[TBL] [Abstract][Full Text] [Related]
12. Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis.
Elkhodr M; Mubin O; Iftikhar Z; Masood M; Alsinglawi B; Shahid S; Alnajjar F
J Med Internet Res; 2021 Feb; 23(2):e23467. PubMed ID: 33493125
[TBL] [Abstract][Full Text] [Related]
13. Utilizing Health Behavior Change and Technology Acceptance Models to Predict the Adoption of COVID-19 Contact Tracing Apps: Cross-sectional Survey Study.
Tomczyk S; Barth S; Schmidt S; Muehlan H
J Med Internet Res; 2021 May; 23(5):e25447. PubMed ID: 33882016
[TBL] [Abstract][Full Text] [Related]
14. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.
Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ
J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932
[TBL] [Abstract][Full Text] [Related]
15. Ready or Not for Contact Tracing? Investigating the Adoption Intention of COVID-19 Contact-Tracing Technology Using an Extended Unified Theory of Acceptance and Use of Technology Model.
Walrave M; Waeterloos C; Ponnet K
Cyberpsychol Behav Soc Netw; 2021 Jun; 24(6):377-383. PubMed ID: 33017171
[TBL] [Abstract][Full Text] [Related]
16. The Influence of Normative Perceptions on the Uptake of the COVID-19 TraceTogether Digital Contact Tracing System: Cross-sectional Study.
Lee JK; Lin L; Kang H
JMIR Public Health Surveill; 2021 Nov; 7(11):e30462. PubMed ID: 34623956
[TBL] [Abstract][Full Text] [Related]
17. DeepHE: Accurately predicting human essential genes based on deep learning.
Zhang X; Xiao W; Xiao W
PLoS Comput Biol; 2020 Sep; 16(9):e1008229. PubMed ID: 32936825
[TBL] [Abstract][Full Text] [Related]
18. Predictors for E-Government Adoption of SANAD App Services Integrating UTAUT, TPB, TAM, Trust, and Perceived Risk.
AlHadid I; Abu-Taieh E; Alkhawaldeh RS; Khwaldeh S; Masa'deh R; Kaabneh K; Alrowwad A
Int J Environ Res Public Health; 2022 Jul; 19(14):. PubMed ID: 35886133
[TBL] [Abstract][Full Text] [Related]
19. Joint analysis of the intention to vaccinate and to use contact tracing app during the COVID-19 pandemic.
Caserotti M; Girardi P; Tasso A; Rubaltelli E; Lotto L; Gavaruzzi T
Sci Rep; 2022 Jan; 12(1):793. PubMed ID: 35039550
[TBL] [Abstract][Full Text] [Related]
20. Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis.
Weiß JP; Esdar M; Hübner U
JMIR Mhealth Uhealth; 2021 Mar; 9(3):e27232. PubMed ID: 33724920
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
