Analysis of mobile applications created to assess the risk of developing gestational diabetes mellitus
Keywords:
gestational diabetes, mobile application, disease, risk assessment.
Abstract
In today’s world, the fields of application of digital technologies are expanding day by day. One of the areas where modern technologies are widely and effectively used is the healthcare sector. In the field of healthcare, mobile technologies are becoming increasingly important in keeping patients under continuous monitoring and preventing the risk of the development of disease. This paper reviews mobile applications developed by researchers around the world on diabetes, one of the most common serious diseases in the world, including gestational diabetes. Commercially available mobile applications for gestational diabetes development risk assessment were also analyzed.
References
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20. “Top 5 gestational diabetes apps for pregnant patients,” Malama Health, 2022. https://heymalama.co/gestational-diabetes/top-5-gestational-diabetes-apps-for-pregnant-patients
2. K. Nosirov, S. Begmatov, M. Arabboev and K. Medetova, "Design of a Model For Disinfection Robot System," 2020 International Conference on Information Science and Communications Technologies (ICISCT), Tashkent, Uzbekistan, 2020, pp. 1-4, doi: 10.1109/ICISCT50599.2020.9351370.
3. K. Nosirov, S. Begmatov and M. Arabboev, "Design Of A Model For Multi-Parametric Health Monitoring System," 2020 International Conference on Information Science and Communications Technologies (ICISCT), Tashkent, Uzbekistan, 2020, pp. 1-5, doi: 10.1109/ICISCT50599.2020.9351522.
4. K. Nosirov et al., “Real-time multi parametric human health monitoring and prediction system,” in Developments of Artificial Intelligence Technologies in Computation and Robotics, 2020, pp. 639646.
5. M. Arabboev, “LoRa based health monitoring and emergency alarm device,” JournalNX, vol. 7, no. 7, pp. 106–111, 2021.
6. M. Elkhodr, S. Ashokkumar, B. Alsinglawi, O. Darwish, O. Karajeh, and E. Gide, “A Cloud-Based Mobile Application for Women with Gestational Diabetes,” in Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 227, 2021.
7. A. Anis, A. Choksey, C. Portwood, and V. Mitra, “Patients’ Experiences of Using Smartphone Apps to Manage their Gestational Diabetes Diagnosis : A Systematic Review - protocol ( version 1),” 2022.
8. C. Tassone, K. Keshavjee, A. Paglialonga, N. Moreira, J. Pinto, and Y. Quintana, “Evaluation of mobile
apps for treatment of patients at risk of developing gestational diabetes,” Health Informatics J., vol. 26, no. 3, pp. 1983–1994, Sep. 2020, doi: 10.1177/1460458219896639.
9. S. K. Nørgaard et al., “Use of the smartphone application "Pregnant with diabetes",” Dan. Med. J., vol. 64, no. 11, pp. 1–5, 2017.
10. S. Hewage, J. Audimulam, E. Sullivan, C. Chi, T. W. Yew, and J. Yoong, “Barriers to gestational diabetes management and preferred interventions for women with gestational diabetes in Singapore: mixed methods study,” JMIR Form. Res., vol. 4, no. 6, pp. 1–15, 2020, doi: 10.2196/14486.
11. S. Smyth, E. Curtin, E. Tully, Z. Molphy, and F. Breathnach, “Smartphone Apps for Surveillance of Gestational Diabetes: Scoping Review,” JMIR Diabetes, vol. 7, no. 4, 2022, doi: 10.2196/38910.
12. B. J. Daley et al., “mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review,” Diabetic Medicine, vol. 39, no. 1. John Wiley and Sons Inc, Jan. 01, 2022. doi: 10.1111/dme.14735.
13. W. Volanski et al., “D-GDM: A mobile diagnostic decision support system for gestational diabetes,” Arch. Endocrinol. Metab., vol. 63, no. 5, pp. 524–530, 2019, doi: 10.20945/2359-3997000000171.
14. N. Garg, S. K. Arunan, S. Arora, and K. Kaur, “Application of Mobile Technology for Disease and Treatment Monitoring of Gestational Diabetes Mellitus Among Pregnant Women: A Systematic Review,” J. Diabetes Sci. Technol., vol. 16, no. 2, pp. 491–497, 2022, doi: 10.1177/1932296820965577.
15. L. M. Garnweidner-Holme, I. Borgen, I. Garitano, J. Noll, and M. Lukasse, “Designing and developing a mobile smartphone application for women with gestational diabetes mellitus followed-up at diabetes outpatient clinics in Norway,” Healthc., vol. 3, no. 2, pp. 310–323, Jun. 2015, doi: 10.3390/healthcare3020310.
16. S. R. N. Kalhori, M. Hemmat, T. Noori, S. Heydarian, and M. R. Katigari, “Quality Evaluation of English Mobile Applications for Gestational Diabetes: App Review using Mobile Application Rating Scale (MARS),” Curr. Diabetes Rev., vol. 17, no. 2, pp. 161–168, 2020, doi: 10.2174/1573399816666200703181438.
17. L. Garnweidner-Holme, L. Henriksen, L. E. Torheim, and M. Lukasse, “Effect of the pregnant+ smartphone app on the dietary behavior of women with gestational diabetes mellitus: Secondary analysis of a randomized controlled trial,” JMIR mHealth uHealth, vol. 8, no. 11, pp. 1–12, 2020, doi: 10.2196/18614.
18. M. Benton et al., “A Mobile Phone App for the Prevention of Type 2 Diabetes in Malaysian Women with Gestational Diabetes Mellitus: Protocol for a Feasibility Randomized Controlled Trial,” JMIR Res. Protoc., vol. 11, no. 9, 2022, doi: 10.2196/37288.
19. C. Eberle, M. Loehnert, and S. Stichling, “Effectivness of specific mobile health applications (mHealth-apps) in gestational diabtetes mellitus: a systematic review,” BMC Pregnancy Childbirth, vol. 21, no. 1, pp. 1–7, 2021, doi: 10.1186/s12884-021-04274-7.
20. “Top 5 gestational diabetes apps for pregnant patients,” Malama Health, 2022. https://heymalama.co/gestational-diabetes/top-5-gestational-diabetes-apps-for-pregnant-patients
Published
2023-11-13
How to Cite
Mukhriddin Arabboev, Shohruh Begmatov, Mokhirjon Rikhsivoev, Khurshid Aliyarov, Saidakmal Saydiakbarov, Zukhriddin Khamidjonov, Sardor Vakhkhobov, & Khabibullo Nosirov. (2023). Analysis of mobile applications created to assess the risk of developing gestational diabetes mellitus. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4(11), 39-49. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/549
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