Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41042, first published .
Digital Biomarker–Based Interventions: Systematic Review of Systematic Reviews

Digital Biomarker–Based Interventions: Systematic Review of Systematic Reviews

Digital Biomarker–Based Interventions: Systematic Review of Systematic Reviews

Journals

  1. De Santis K, Matthias K. Different Approaches to Appraising Systematic Reviews of Digital Interventions for Physical Activity Promotion Using AMSTAR 2 Tool: Cross-Sectional Study. International Journal of Environmental Research and Public Health 2023;20(6):4689 View
  2. De Santis K, Pieper D, Lorenz R, Wegewitz U, Siemens W, Matthias K. User experience of applying AMSTAR 2 to appraise systematic reviews of healthcare interventions: a commentary. BMC Medical Research Methodology 2023;23(1) View
  3. Anmella G, Corponi F, Li B, Mas A, Sanabra M, Pacchiarotti I, Valentí M, Grande I, Benabarre A, Giménez-Palomo A, Garriga M, Agasi I, Bastidas A, Cavero M, Fernández-Plaza T, Arbelo N, Bioque M, García-Rizo C, Verdolini N, Madero S, Murru A, Amoretti S, Martínez-Aran A, Ruiz V, Fico G, De Prisco M, Oliva V, Solanes A, Radua J, Samalin L, Young A, Vieta E, Vergari A, Hidalgo-Mazzei D. Exploring Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study. JMIR mHealth and uHealth 2023;11:e45405 View
  4. Rego S, Henriques A, Serra S, Costa T, Rodrigues A, Nunes F. Methods for the Clinical Validation of Digital Endpoints: Protocol for a Scoping Review Abstract. JMIR Research Protocols 2023;12:e47119 View
  5. Shibuta T, Waki K, Miyake K, Igarashi A, Yamamoto-Mitani N, Sankoda A, Takeuchi Y, Sumitani M, Yamauchi T, Nangaku M, Ohe K. Preliminary Efficacy, Feasibility, and Perceived Usefulness of a Smartphone-Based Self-Management System With Personalized Goal Setting and Feedback to Increase Step Count Among Workers With High Blood Pressure: Before-and-After Study. JMIR Cardio 2023;7:e43940 View
  6. Ali A, Clarke D. Digital measures in epilepsy in low-resourced environments. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(6):705 View
  7. Hosseini S, Behzad Khamesloo M, Allahverdy A, Ranjbar M. The Relaxing Effect of Smart Bracelet on Heart Rate in Taekwondo Athletes Before Qualifying for Matches. Archives of Neuroscience 2023;10(2) View
  8. Zeeb H, Schüz B, Schultz T, Pigeot I. Entwicklungen in der Digitalisierung von Public Health seit 2020. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(3):260 View
  9. Cheng W, Cao X, Lian W, Tian J. An Introduction to Smart Home Ward–Based Hospital-at-Home Care in China. JMIR mHealth and uHealth 2024;12:e44422 View
  10. Lebleu J, Daniels K, Pauwels A, Dekimpe L, Mapinduzi J, Poilvache H, Bonnechère B. Incorporating Wearable Technology for Enhanced Rehabilitation Monitoring after Hip and Knee Replacement. Sensors 2024;24(4):1163 View
  11. Chudzik A, Śledzianowski A, Przybyszewski A. Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases. Sensors 2024;24(5):1572 View
  12. Barata F, Shim J, Wu F, Langer P, Fleisch E. The Bitemporal Lens Model—toward a holistic approach to chronic disease prevention with digital biomarkers. JAMIA Open 2024;7(2) View
  13. Tóth B, Berek L, Gulácsi L, Péntek M, Zrubka Z. Automation of systematic reviews of biomedical literature: a scoping review of studies indexed in PubMed. Systematic Reviews 2024;13(1) View
  14. Towett G, Snead R, Marczika J, Prada I. Discursive framework for a multi-disease digital health passport in Africa: a perspective. Globalization and Health 2024;20(1) View
  15. Bakker J, McClenahan S, Fromy P, Turner S, Peterson B, Vandendriessche B, Goldsack J. A Hierarchical Framework for Selecting Reference Measures for the Analytical Validation of Sensor-Based Digital Health Technologies. Journal of Medical Internet Research 2025;27:e58956 View
  16. Fekete J, Győrffy B. MetaAnalysisOnline.com: Web-Based Tool for the Rapid Meta-Analysis of Clinical and Epidemiological Studies. Journal of Medical Internet Research 2025;27:e64016 View
  17. Antonini A, Coşar S, Naja I, Haleem M, Macdonald J, Innominato P, Barresi G. Smartphone as a Sensor in mHealth: Narrative Overview, SWOT Analysis, and Proposal of Mobile Biomarkers. Sensors 2025;25(12):3655 View
  18. Garzón-Partida A, Padilla-Gómez C, Martínez-Fernández D, García-Estrada J, Luquin S, Fernández-Quezada D. The implementation of digital biomarkers in the diagnosis, treatment and monitoring of mood disorders: a narrative review. Frontiers in Digital Health 2025;7 View

Conference Proceedings

  1. Zrubka Z, Hölgyesi Á, Neshat M, Nezhad H, Mirjalili S, Kovács L, Péntek M, Gulácsi L. 2023 IEEE 27th International Conference on Intelligent Engineering Systems (INES). Towards a single goodness metric of clinically relevant, accurate, fair and unbiased machine learning predictions of health-related quality of life View
  2. Alabdulkarim H, Zrubka Z. 2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY). How Effective is Continuous Glucose Monitoring? A Comparison of Different Random-Effect Meta-Analysis Techniques View
  3. Szerencsés D, Zrubka Z. 2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES). Mobile health applications used for health behaviour change in metabolic syndrome: protocol for a scoping review View
  4. Alabdulkarim H, Zrubka Z. 2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES). How Effective is Continuous Glucose Monitoring? Cumulative Meta-regression Analysis View
  5. Fgaier M, Zrubka Z, Alabdulkarim H. 2025 IEEE 19th International Symposium on Applied Computational Intelligence and Informatics (SACI). Feasibility of Health Technology Assessment in the Mena Region Using Transferred Costs: Analysing the Feasibility of Four Imputation Strategies of Published Costs View