Missing value imputation: a review and analysis of the literature (2006–2017)
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Due to the high frequency of missing data in self-reported SDoH, we coded missing values as 'not measured' rather than imputing, as missingness may reflect lower use of safety-net services and thus warrant review.
“Due to the high frequency of missing data in self-reported SDoH, we coded missing values as “not measured” rather than imputing [46,47], as missingness may reflect lower use of safety-net services and thus warrant review [70,71].”
From Machine learning-driven risk prediction for post-hospitalization diabetes case management: Integrating clinical and social determinants of health (2026) · cites this paper as [46]
Cites
MissForest—Non-parametric missing value imputation for mixed-type data
Stekhoven, D. J., & Bühlmann, P. (2012) · Bioinformatics · doi:10.1093/bioinformatics/btr597 · Cited by 6,156 · see citing works
How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory
Graham, J. W., Olchowski, A. E., & Gilreath, T. D. (2007) · Prevention Science · doi:10.1007/s11121-007-0070-9 · Cited by 2,795 · see citing works
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A survey on missing data in machine learning
Emmanuel, T., Maupong, T., Mpoeleng, D., Semong, T., Mphago, B., & Tabona, O. (2021) · Journal of Big Data · doi:10.1186/s40537-021-00516-9 · Cited by 1,067 · see citing works
Consumer perception of price fairness and dynamic pricing: Evidence from Booking.com
Alderighi, M., Nava, C. R., Calabrese, M., Christille, J.-M., & Salvemini, C. B. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.03.017 · Cited by 63 · see citing works
Unsupervised End-to-End Deep Model for Newborn and Infant Activity Recognition
Jun, K., & Choi, S. (2020) · Sensors · doi:10.3390/s20226467 · Cited by 21 · see citing works
A Self-Attention-Based Imputation Technique for Enhancing Tabular Data Quality
Lee, D.-H., & Kim, H.-J. (2023) · Data · doi:10.3390/data8060102 · Cited by 5 · see citing works
Lee, S.-Y., Saleem, M., Land, A. M., DeLaney, E. W., Garretson, A. R., Patel, M., Hall, A. G., Westrick, S., Ovalle, F., Cherrington, A. L., et al. (2026) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2026.106604
- Authors
- Lin, W.-C., & Tsai, C.-F.
- Affiliations
- Chang Gung University (TW)
- National Central University (TW)
- Corresponding author
- Tsai, Chih-Fong
- Venue
- Artificial Intelligence Review
- Published
- 2019-04-05
- Volume
- 53
- Issue
- 2
- Pages
- 1487-1509
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W2932881901
- Cited by
- 612
- References
- 2
- Citations by year
- 2026: 63 · 2025: 120 · 2024: 133 · 2023: 121 · 2022: 87 · 2021: 62 · 2020: 21 · 2019: 4
- FWCI
- 33.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Artificial Intelligence Review (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (MOST 105-2410-H-008-043-MY3)
- Chang Gung Memorial Hospital, Linkou (CMRPD3I0031)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- missing data imputation, missing data, missing data mechanisms, missing rate, data selection
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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