167 related articles for article (PubMed ID: 34203674)
1. Prediction of Problematic Smartphone Use: A Machine Learning Approach.
Lee J; Kim W
Int J Environ Res Public Health; 2021 Jun; 18(12):. PubMed ID: 34203674
[TBL] [Abstract][Full Text] [Related]
2. Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach.
Kim K; Yoon Y; Shin S
Int J Med Inform; 2024 Jun; 186():105441. PubMed ID: 38564961
[TBL] [Abstract][Full Text] [Related]
3. Assessment of the Popularity and Perceived Effectiveness of Smartphone Tools That Track and Limit Smartphone Use: Survey Study and Machine Learning Analysis.
Aboujaoude E; Vera Cruz G; Rochat L; Courtois R; Ben Brahim F; Khan R; Khazaal Y
J Med Internet Res; 2022 Oct; 24(10):e38963. PubMed ID: 36264627
[TBL] [Abstract][Full Text] [Related]
4. Impact of COVID-19 on Adolescents' Smartphone Addiction in South Korea.
Chun J; Lee HK; Jeon H; Kim J; Lee S
Soc Work Public Health; 2023 May; 38(4):268-280. PubMed ID: 36227775
[TBL] [Abstract][Full Text] [Related]
5. Distinct patterns of Internet and smartphone-related problems among adolescents by gender: Latent class analysis.
Lee SY; Lee D; Nam CR; Kim DY; Park S; Kwon JG; Kweon YS; Lee Y; Kim DJ; Choi JS
J Behav Addict; 2018 Jun; 7(2):454-465. PubMed ID: 29788762
[TBL] [Abstract][Full Text] [Related]
6. Factors Influencing the Smartphone Usage Behavior of Pedestrians: Observational Study on "Spanish Smombies".
Fernández C; Vicente MA; Carrillo I; Guilabert M; Mira JJ
J Med Internet Res; 2020 Aug; 22(8):e19350. PubMed ID: 32667896
[TBL] [Abstract][Full Text] [Related]
7. Mobile phones: The effect of its presence on learning and memory.
Tanil CT; Yong MH
PLoS One; 2020; 15(8):e0219233. PubMed ID: 32790667
[TBL] [Abstract][Full Text] [Related]
8. The SAMS: Smartphone Addiction Management System and verification.
Lee H; Ahn H; Choi S; Choi W
J Med Syst; 2014 Jan; 38(1):1. PubMed ID: 24395031
[TBL] [Abstract][Full Text] [Related]
9. Excessive Smartphone Use and Self-Esteem Among Adults With Internet Gaming Disorder: Quantitative Survey Study.
Kim H; Choi IY; Kim DJ
JMIR Mhealth Uhealth; 2020 Sep; 8(9):e18505. PubMed ID: 32990637
[TBL] [Abstract][Full Text] [Related]
10. The Use of Smartphones in Different Phases of Medical School and its Relationship to Internet Addiction and Learning Approaches.
Loredo E Silva MP; de Souza Matos BD; da Silva Ezequiel O; Lucchetti ALG; Lucchetti G
J Med Syst; 2018 Apr; 42(6):106. PubMed ID: 29700626
[TBL] [Abstract][Full Text] [Related]
11. Development of the Smartphone Addiction Risk Rating Score for a Smartphone Addiction Management Application.
Park J; Jeong JE; Park SY; Rho MJ
Front Public Health; 2020; 8():485. PubMed ID: 33042938
[TBL] [Abstract][Full Text] [Related]
12. Relationship among family environment, self-control, friendship quality, and adolescents' smartphone addiction in South Korea: Findings from nationwide data.
Kim HJ; Min JY; Min KB; Lee TJ; Yoo S
PLoS One; 2018; 13(2):e0190896. PubMed ID: 29401496
[TBL] [Abstract][Full Text] [Related]
13. How to overcome taxonomical problems in the study of Internet use disorders and what to do with "smartphone addiction"?
Montag C; Wegmann E; Sariyska R; Demetrovics Z; Brand M
J Behav Addict; 2021 Jan; 9(4):908-914. PubMed ID: 31668089
[TBL] [Abstract][Full Text] [Related]
14. Personalized prediction of smartphone-based psychotherapeutic micro-intervention success using machine learning.
Meinlschmidt G; Tegethoff M; Belardi A; Stalujanis E; Oh M; Jung EK; Kim HC; Yoo SS; Lee JH
J Affect Disord; 2020 Mar; 264():430-437. PubMed ID: 31787419
[TBL] [Abstract][Full Text] [Related]
15. Noninvasive Hemoglobin Level Prediction in a Mobile Phone Environment: State of the Art Review and Recommendations.
Hasan MK; Aziz MH; Zarif MII; Hasan M; Hashem M; Guha S; Love RR; Ahamed S
JMIR Mhealth Uhealth; 2021 Apr; 9(4):e16806. PubMed ID: 33830065
[TBL] [Abstract][Full Text] [Related]
16. How Does Parental Smartphone Addiction Affect Adolescent Smartphone Addiction?: Testing the Mediating Roles of Parental Rejection and Adolescent Depression.
Mun IB; Lee S
Cyberpsychol Behav Soc Netw; 2021 Jun; 24(6):399-406. PubMed ID: 33185477
[TBL] [Abstract][Full Text] [Related]
17. Relationship between smartphone addiction and physical activity in Chinese international students in Korea.
Kim SE; Kim JW; Jee YS
J Behav Addict; 2015 Sep; 4(3):200-5. PubMed ID: 26551911
[TBL] [Abstract][Full Text] [Related]
18. An analysis of security system for intrusion in Smartphone environment.
Louk M; Lim H; Lee H
ScientificWorldJournal; 2014; 2014():983901. PubMed ID: 25165754
[TBL] [Abstract][Full Text] [Related]
19. Based on a Decision Tree Model for Exploring the Risk Factors of Smartphone Addiction Among Children and Adolescents in China During the COVID-19 Pandemic.
Duan L; He J; Li M; Dai J; Zhou Y; Lai F; Zhu G
Front Psychiatry; 2021; 12():652356. PubMed ID: 34168575
[No Abstract] [Full Text] [Related]
20. Behavioral Intention to Use a Smartphone Usage Management Application Between a Non-Problematic Smartphone Use Group and a Problematic Use Group.
Choi MJ; Lee SJ; Lee SJ; Rho MJ; Kim DJ; Choi IY
Front Psychiatry; 2021; 12():571795. PubMed ID: 34220560
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]