A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health records.

Yang Z, Zhang Y, Love Z, Animashaun A, Zhong K, McDermott G, Cai T, Liao KP

DOI: 10.64898/2026.07.16.26358271
Published: 2026 Jul 19
Container: medRxiv : the preprint server for health sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.64898/2026.07.16.26358271,
  title = {A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health records.},
  author = {Yang Z and Zhang Y and Love Z and Animashaun A and Zhong K and McDermott G and Cai T and Liao KP},
  year = {2026},
  journal = {medRxiv : the preprint server for health sciences},
  doi = {10.64898/2026.07.16.26358271},
  url = {https://doi.org/10.64898/2026.07.16.26358271}
}

RIS

TY  - JOUR
TI  - A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health records.
AU  - Yang Z
AU  - Zhang Y
AU  - Love Z
AU  - Animashaun A
AU  - Zhong K
AU  - McDermott G
AU  - Cai T
AU  - Liao KP
PY  - 2026
JO  - medRxiv : the preprint server for health sciences
DO  - 10.64898/2026.07.16.26358271
UR  - https://doi.org/10.64898/2026.07.16.26358271
ER  -

APA

Z, Y., Y, Z., Z, L., A, A., K, Z., G, M., T, C., & KP, L. (2026). A framework for human-artificial intelligence co-learning for disease activity labeling using electronic health records.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.07.16.26358271

Source records

pubmed · retrieved 2026-09-25T03:09:46.817Z