Handling missing data: AI approach for survival prediction in lung cancer despite missing data.

Sui MY, Rosen KL, Ong AY, Kvedar JC

Open source

DOI: 10.1038/s41746-026-03019-0
Published: 2026 Jul 16
Container: NPJ digital medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41746-026-03019-0,
  title = {Handling missing data: AI approach for survival prediction in lung cancer despite missing data.},
  author = {Sui MY and Rosen KL and Ong AY and Kvedar JC},
  year = {2026},
  journal = {NPJ digital medicine},
  doi = {10.1038/s41746-026-03019-0},
  url = {https://doi.org/10.1038/s41746-026-03019-0}
}

RIS

TY  - JOUR
TI  - Handling missing data: AI approach for survival prediction in lung cancer despite missing data.
AU  - Sui MY
AU  - Rosen KL
AU  - Ong AY
AU  - Kvedar JC
PY  - 2026
JO  - NPJ digital medicine
DO  - 10.1038/s41746-026-03019-0
UR  - https://doi.org/10.1038/s41746-026-03019-0
ER  -

APA

MY, S., KL, R., AY, O., & JC, K. (2026). Handling missing data: AI approach for survival prediction in lung cancer despite missing data.. NPJ digital medicine. https://doi.org/10.1038/s41746-026-03019-0

Source records

pubmed · retrieved 2026-09-26T00:54:52.422Z
europe-pmc · retrieved 2026-09-26T00:54:52.423Z
doaj · retrieved 2026-09-26T00:54:52.446Z