Published on in Vol 9, No 2 (2021): Apr-Jun
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/23130, first published
.

Journals
- Jeong H, Jeong Y, Park Y, Kim K, Park J, Kang D. Applications of deep learning methods in digital biomarker research using noninvasive sensing data. DIGITAL HEALTH 2022;8:205520762211366 View
- Bowe A, Lightbody G, Staines A, Murray D. Big data, machine learning, and population health: predicting cognitive outcomes in childhood. Pediatric Research 2023;93(2):300 View
- Park Y, Go T, Hong S, Kim S, Han J, Kang Y, Kang D. Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review. Yonsei Medical Journal 2022;63(Suppl):S43 View
- Petsani D, Konstantinidis E, Katsouli A, Zilidou V, Dias S, Hadjileontiadis L, Bamidis P. Digital Biomarkers for Well-being Through Exergame Interactions: Exploratory Study. JMIR Serious Games 2022;10(3):e34768 View
- Li S, Liu Y, Kumar V. Deep Learning-Based Mental Health Model on Primary and Secondary School Students’ Quality Cultivation. Computational Intelligence and Neuroscience 2022;2022:1 View
- Toki E, Tatsis G, Tatsis V, Plachouras K, Pange J, Tsoulos I. Applying Neural Networks on Biometric Datasets for Screening Speech and Language Deficiencies in Child Communication. Mathematics 2023;11(7):1643 View
- Toki E, Tatsis G, Tatsis V, Plachouras K, Pange J, Tsoulos I. Employing Classification Techniques on SmartSpeech Biometric Data towards Identification of Neurodevelopmental Disorders. Signals 2023;4(2):401 View
- Zhao Y, Gao W, Ku S. Optimization of the game improvement and data analysis model for the early childhood education major via deep learning. Scientific Reports 2023;13(1) View