Machine Learning Based Prediction of Incident Cases of Crohn’s Disease Using Electronic Health Records from a Large Integrated Health System

Author:

Hugo JulianORCID,Ibing SusanneORCID,Borchert FlorianORCID,Sachs Jan PhilippORCID,Cho JudyORCID,Ungaro Ryan C.ORCID,Böttinger Erwin P.ORCID

Publisher

Springer Nature Switzerland

Reference19 articles.

1. Beaulieu-Jones, B.K., Lavage, D.R., Snyder, J.W., Moore, J.H., Pendergrass, S.A., et al.: Characterizing and managing missing structured data in electronic health records: Data analysis. JMIR Med. Inf. 6(1), e11 (2018)

2. Belbin, G.M., et al.: Toward a fine-scale population health monitoring system. Cell 184(8), 2068–2083 (2021)

3. Bergstra, J., Yamins, D., Cox, D.: Making a science of model search: hyperparameter optimization in hundreds of dimensions for vision architectures. In: Proceedings of the 30th International Conference on Machine Learning, pp. 115–123. PMLR (2013)

4. Blackwell, J., et al.: Prevalence and duration of gastrointestinal symptoms before diagnosis of inflammatory bowel disease and predictors of timely specialist review: a population-based study. JCC 15(2), 203–211 (2021)

5. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)

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