Published on 09.01.18 in Vol 6, No 1 (2018): January
Works citing "Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.9236):
(note that this is only a small subset of citations)
-
Pustozerov E, Tkachuk A, Vasukova E, Dronova A, Shilova E, Anopova A, Piven F, Pervunina T, Vasilieva E, Grineva E, Popova P. The Role of Glycemic Index and Glycemic Load in the Development of Real-Time Postprandial Glycemic Response Prediction Models for Patients with Gestational Diabetes. Nutrients 2020;12(2):302
CrossRef -
Wang Y, Li M, Zhao X, Pan X, Lu M, Lu J, Hu Y. Effects of continuous care for patients with type 2 diabetes using mobile health application: A randomised controlled trial. The International Journal of Health Planning and Management 2019;34(3):1025
CrossRef -
Pustozerov EA, Chernykh VY, Popova PV, Vasyukova EA, Tkachuk AS, Yuldashev ZM. Health Monitoring System for Patients with Gestational Diabetes Mellitus Based on Nutrition Diaries and Fitness Bracelets. Biomedical Engineering 2020;53(5):305
CrossRef -
Yu Q, Aris IM, Tan KH, Li L. Application and Utility of Continuous Glucose Monitoring in Pregnancy: A Systematic Review. Frontiers in Endocrinology 2019;10
CrossRef -
Popova P, Vasilyeva L, Tkachuck A, Puzanov M, Golovkin A, Bolotko Y, Pustozerov E, Vasilyeva E, Li O, Zazerskaya I, Dmitrieva R, Kostareva A, Grineva E. A Randomised, Controlled Study of Different Glycaemic Targets during Gestational Diabetes Treatment: Effect on the Level of Adipokines in Cord Blood and ANGPTL4 Expression in Human Umbilical Vein Endothelial Cells. International Journal of Endocrinology 2018;2018:1
CrossRef -
Barros M, Moitinho A, Couto FM. Using Research Literature to Generate Datasets of Implicit Feedback for Recommending Scientific Items. IEEE Access 2019;7:176668
CrossRef -
. Nutrition for Gestational Diabetes—Progress and Potential. Nutrients 2020;12(9):2685
CrossRef -
Inayama Y, Yamanoi K, Shitanaka S, Ogura J, Ohara T, Sakai M, Suzuki H, Kishimoto I, Tsunenari T, Suginami K. A novel classification of glucose profile in pregnancy based on continuous glucose monitoring data. Journal of Obstetrics and Gynaecology Research 2021;47(4):1281
CrossRef -
Park J, Kim S, Lee J. Self-Care IoT Platform for Diabetic Mellitus. Applied Sciences 2021;11(5):2006
CrossRef -
Surendran S, Lim CS, Koh GCH, Yew TW, Tai ES, Foong PS. Women’s Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study. International Journal of Environmental Research and Public Health 2021;18(12):6670
CrossRef -
Shang J, Henry A, Zhang P, Chen H, Thompson K, Wang X, Liu N, Zhang J, Liu Y, Jin J, Pan X, Yang X, Hirst JE. Chinese women’s attitudes towards postpartum interventions to prevent type 2 diabetes after gestational diabetes: a semi-structured qualitative study. Reproductive Health 2021;18(1)
CrossRef -
De Croon R, Van Houdt L, Htun NN, Štiglic G, Vanden Abeele V, Verbert K. Health Recommender Systems: Systematic Review. Journal of Medical Internet Research 2021;23(6):e18035
CrossRef -
Mennickent D, Ortega-Contreras B, Gutiérrez-Vega S, Castro E, Rodríguez A, Araya J, Guzmán-Gutiérrez E, Jayakody Mudiyanselage SN. Evaluation of first and second trimester maternal thyroid profile on the prediction of gestational diabetes mellitus and post load glycemia. PLOS ONE 2023;18(1):e0280513
CrossRef -
Kytö M, Strömberg L, Tuomonen H, Ruonala A, Koivusalo S, Jacucci G. Behavior Change Apps for Gestational Diabetes Management: Exploring Desirable Features. International Journal of Human–Computer Interaction 2022;38(12):1095
CrossRef -
Makroum MA, Adda M, Bouzouane A, Ibrahim H. Machine Learning and Smart Devices for Diabetes Management: Systematic Review. Sensors 2022;22(5):1843
CrossRef -
Napolsky IN, Popova PV. Personalized Nutrition for the Prevention and Treatment of Metabolic Diseases: Opportunities and Perspectives. Russian Journal for Personalized Medicine 2022;2(1):15
CrossRef -
Kalhori SRN, Hemmat M, Noori T, Heydarian S, Katigari MR. Quality Evaluation of English Mobile Applications for Gestational Diabetes: App Review using Mobile Application Rating Scale (MARS). Current Diabetes Reviews 2021;17(2):161
CrossRef -
Bertini A, Gárate B, Pardo F, Pelicand J, Sobrevia L, Torres R, Chabert S, Salas R. Impact of Remote Monitoring Technologies for Assisting Patients With Gestational Diabetes Mellitus: A Systematic Review. Frontiers in Bioengineering and Biotechnology 2022;10
CrossRef -
Daley BJ, Ni’Man M, Neves MR, Bobby Huda MS, Marsh W, Fenton NE, Hitman GA, McLachlan S. mHealth apps for gestational diabetes mellitus that provide clinical decision support or artificial intelligence: A scoping review. Diabetic Medicine 2022;39(1)
CrossRef -
. A Remote System for Monitoring the State of Health of People with Chronic Diseases and Predicting Periods of Exacerbation. Biomedical Engineering 2023;56(5):294
CrossRef -
Pustozerov EA, Tkachuk AS, Vasukova EA, Anopova AD, Kokina MA, Gorelova IV, Pervunina TM, Grineva EN, Popova PV. Machine Learning Approach for Postprandial Blood Glucose Prediction in Gestational Diabetes Mellitus. IEEE Access 2020;8:219308
CrossRef -
Gambo IP, Massenon R, Kolawole BA, Ikono R. Analysis and Design Process for Predicting and Controlling Blood Glucose in Type 1 Diabetic Patients. International Journal of Healthcare Information Systems and Informatics 2021;16(4):1
CrossRef -
Zafar A, Lewis DM, Shahid A. Long-Term Glucose Forecasting for Open-Source Automated Insulin Delivery Systems: A Machine Learning Study with Real-World Variability Analysis. Healthcare 2023;11(6):779
CrossRef -
Rivera-Romero O, Gabarron E, Ropero J, Denecke K. Designing personalised mHealth solutions: An overview. Journal of Biomedical Informatics 2023;146:104500
CrossRef -
Popova P, Anopova A, Vasukova E, Isakov A, Eriskovskaya A, Degilevich A, Pustozerov E, Tkachuk A, Pashkova K, Krasnova N, Kokina M, Nemykina I, Pervunina T, Li O, Grineva E, Shlyakhto E. Trial protocol for the study of recommendation system DiaCompanion with personalized dietary recommendations for women with gestational diabetes mellitus (DiaCompanion I). Frontiers in Endocrinology 2023;14
CrossRef -
. The use of mobile health applications in empowering self-management of type 2 diabetes: a literature review. The European Research Journal 2024;10(1):127
CrossRef -
Lu HY, Lu P, Hirst JE, Mackillop L, Clifton DA. A Stacked Long Short-Term Memory Approach for Predictive Blood Glucose Monitoring in Women with Gestational Diabetes Mellitus. Sensors 2023;23(18):7990
CrossRef -
Pato M, Barros M, Couto FM. Survey on Recommender Systems for Biomedical Items in Life and Health Sciences. ACM Computing Surveys 2024;56(6):1
CrossRef -
Qaraqe M, Elzein A, Belhaouari S, Ilam MS, Petrovski G. A novel few shot learning derived architecture for long-term HbA1c prediction. Scientific Reports 2024;14(1)
CrossRef -
Lu HY, Ding X, Hirst JE, Yang Y, Yang J, Mackillop L, Clifton DA. Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes. IEEE Reviews in Biomedical Engineering 2024;17:98
CrossRef -
Yu H, Piri S, Qiu H, Xu R, Miao H. Personalized algorithmic pricing decision support tool for health insurance: The case of stratifying gestational diabetes mellitus into two groups. Information & Management 2024;61(3):103945
CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.9236):
-
Pustozerov E, Sachkova N, Tkachuk A, Vasukova E, Dronova A, Pervunina T, Grineva E, Popova P. International Youth Conference on Electronics, Telecommunications and Information Technologies. 2021. Chapter 54:495
CrossRef -
Xanthis C, Filos D, Chouvarda I. Comprehensive Clinical Approach to Diabetes During Pregnancy. 2022. Chapter 23:431
CrossRef