When Missing Data Speak: An Adherence-Driven Sparsity Framework for Patient-Generated Telemedicine Data

Gábor Kőrösi, Beatrix Rafael, István Kósa

Open source

DOI: 10.2196/92710
Published: 2026-11-05
Container: Online Journal of Public Health Informatics
Publisher: JMIR Publications Inc.
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2196/92710,
  title = {When Missing Data Speak: An Adherence-Driven Sparsity Framework for Patient-Generated Telemedicine Data},
  author = {Gábor Kőrösi and Beatrix Rafael and István Kósa},
  year = {2026},
  journal = {Online Journal of Public Health Informatics},
  doi = {10.2196/92710},
  url = {https://doi.org/10.2196/92710}
}

RIS

TY  - JOUR
TI  - When Missing Data Speak: An Adherence-Driven Sparsity Framework for Patient-Generated Telemedicine Data
AU  - Gábor Kőrösi
AU  - Beatrix Rafael
AU  - István Kósa
PY  - 2026
JO  - Online Journal of Public Health Informatics
DO  - 10.2196/92710
UR  - https://doi.org/10.2196/92710
ER  -

APA

Kőrösi, G., Rafael, B., & Kósa, I. (2026). When Missing Data Speak: An Adherence-Driven Sparsity Framework for Patient-Generated Telemedicine Data. Online Journal of Public Health Informatics. https://doi.org/10.2196/92710

Source records

crossref · retrieved 2026-11-07T07:28:32.539Z