Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease.

Suarez RGS, McClement DG, Vega R, Huynh HQ, Shaikh A, Otley A, Jacobson K, Sherlock M, Mack DR, Deslandres C, El-Matary W, Crowley E, deBruyn J, Walters T, Griffiths AM, Greiner R, Eytan Wine, Canadian Children IBD Network

Open source

DOI
10.1002/jpn3.70299
Published
2026 Feb
Container
Journal of pediatric gastroenterology and nutrition
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1002/jpn3.70299,
  title = {Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease.},
  author = {Suarez RGS and McClement DG and Vega R and Huynh HQ and Shaikh A and Otley A and Jacobson K and Sherlock M and Mack DR and Deslandres C and El-Matary W and Crowley E and deBruyn J and Walters T and Griffiths AM and Greiner R and Eytan Wine and Canadian Children IBD Network},
  year = {2026},
  journal = {Journal of pediatric gastroenterology and nutrition},
  doi = {10.1002/jpn3.70299},
  url = {https://doi.org/10.1002/jpn3.70299}
}

RIS

TY  - JOUR
TI  - Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease.
AU  - Suarez RGS
AU  - McClement DG
AU  - Vega R
AU  - Huynh HQ
AU  - Shaikh A
AU  - Otley A
AU  - Jacobson K
AU  - Sherlock M
AU  - Mack DR
AU  - Deslandres C
AU  - El-Matary W
AU  - Crowley E
AU  - deBruyn J
AU  - Walters T
AU  - Griffiths AM
AU  - Greiner R
AU  - Eytan Wine
AU  - Canadian Children IBD Network
PY  - 2026
JO  - Journal of pediatric gastroenterology and nutrition
DO  - 10.1002/jpn3.70299
UR  - https://doi.org/10.1002/jpn3.70299
ER  - 

APA

RGS, S., DG, M., R, V., HQ, H., A, S., A, O., K, J., M, S., DR, M., C, D., W, E., E, C., J, D., T, W., AM, G., R, G., Wine, E., & Network, C. C. I. (2026). Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease.. Journal of pediatric gastroenterology and nutrition. https://doi.org/10.1002/jpn3.70299

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