Addressing the missing data challenge in multi-modal datasets for the diagnosis of Alzheimer’s disease
Author:
Publisher
Elsevier BV
Subject
General Neuroscience
Reference39 articles.
1. Aghili, M., Tabarestani, S., Adjouadi, M., & Adeli, E. (2018, September). Predictive modeling of longitudinal data for Alzheimer’s Disease Diagnosis Using RNNs. In International Workshop on PRedictive Intelligence In MEdicine (pp. 112–119). Springer, Cham.
2. The projected effect of risk factor reduction on Alzheimer’s disease prevalence;Barnes;Lancet Neurol.,2011
3. How to deal with missing longitudinal data in cost of illness analysis in Alzheimer’s disease—suggestions from the GERAS observational study;Belger;BMC Med. Res. Methodol.,2016
4. Campos, S., Pizarro, L., Valle, C., Gray, K.R., Rueckert, D., & Allende, H. (2015, November). Evaluating imputation techniques for missing data in ADNI: a patient classification study. In Ibero-American Congress on Pattern Recognition (pp. 3–10). Springer, Cham.
5. Chen, T., & Guestrin, C. (2016, August). Xgboost: A scalable tree boosting system. In Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining (pp. 785–794).
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