Identifying Family Relationships from Electronic Health Records: A Machine Learning Approach.

Pundir A, Hill A, Kahn MG, Kwan BM, Lindberg DM, Grannis SJ, Schleyer TK, Schilling LM, Kautz SV, Ong TC

DOI: 10.64898/2026.09.18.26363428
Published: 2026 Oct 8
Container: medRxiv : the preprint server for health sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.64898/2026.09.18.26363428,
  title = {Identifying Family Relationships from Electronic Health Records: A Machine Learning Approach.},
  author = {Pundir A and Hill A and Kahn MG and Kwan BM and Lindberg DM and Grannis SJ and Schleyer TK and Schilling LM and Kautz SV and Ong TC},
  year = {2026},
  journal = {medRxiv : the preprint server for health sciences},
  doi = {10.64898/2026.09.18.26363428},
  url = {https://doi.org/10.64898/2026.09.18.26363428}
}

RIS

TY  - JOUR
TI  - Identifying Family Relationships from Electronic Health Records: A Machine Learning Approach.
AU  - Pundir A
AU  - Hill A
AU  - Kahn MG
AU  - Kwan BM
AU  - Lindberg DM
AU  - Grannis SJ
AU  - Schleyer TK
AU  - Schilling LM
AU  - Kautz SV
AU  - Ong TC
PY  - 2026
JO  - medRxiv : the preprint server for health sciences
DO  - 10.64898/2026.09.18.26363428
UR  - https://doi.org/10.64898/2026.09.18.26363428
ER  -

APA

A, P., A, H., MG, K., BM, K., DM, L., SJ, G., TK, S., LM, S., SV, K., & TC, O. (2026). Identifying Family Relationships from Electronic Health Records: A Machine Learning Approach.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.09.18.26363428

Source records

pubmed · retrieved 2026-11-10T11:36:11.763Z