The Effects of Missing Data Characteristics on the Choice of Imputation Techniques
One major characteristic of data is completeness. Missing data is a significant problem in medical datasets. It leads to incorrect classification of patients and is dangerous to the health management of patients. Many factors lead to the missingness of values in databases in medical datasets. In thi...
| 發表在: | Vietnam Journal of Computer Science |
|---|---|
| Main Authors: | Oyekale Abel Alade, Ali Selamat, Roselina Sallehuddin |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
World Scientific Publishing
2020-05-01
|
| 主題: | |
| 在線閱讀: | http://www.worldscientific.com/doi/pdf/10.1142/S2196888820500098 |
相似書籍
Outcome-sensitive multiple imputation: a simulation study
由: Evangelos Kontopantelis, et al.
出版: (2017-01-01)
由: Evangelos Kontopantelis, et al.
出版: (2017-01-01)
Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review
由: Marziyeh Afkanpour, et al.
出版: (2024-08-01)
由: Marziyeh Afkanpour, et al.
出版: (2024-08-01)
Handling Planned and Unplanned Missing Data in a Longitudinal Study
由: Caron-Diotte, Mathieu, et al.
出版: (2023-06-01)
由: Caron-Diotte, Mathieu, et al.
出版: (2023-06-01)
Classification of breast cancer recurrence based on imputed data: a simulation study
由: Rahibu A. Abassi, et al.
出版: (2022-12-01)
由: Rahibu A. Abassi, et al.
出版: (2022-12-01)
Missing data imputation of climate time series: A review
由: Lizette Elena Alejo-Sanchez, et al.
出版: (2025-12-01)
由: Lizette Elena Alejo-Sanchez, et al.
出版: (2025-12-01)
Evaluating Performance of Missing Data Imputation Methods in IRT Analyses
由: Ömür Kaya Kalkan, et al.
出版: (2018-09-01)
由: Ömür Kaya Kalkan, et al.
出版: (2018-09-01)
Missing Categorical Data in Sociological Surveys: An Experimental Evaluation of Imputation Techniques
由: Yaroslav Kostenko, et al.
出版: (2025-06-01)
由: Yaroslav Kostenko, et al.
出版: (2025-06-01)
Traffic Missing Data Imputation: A Selective Overview of Temporal Theories and Algorithms
由: Tuo Sun, et al.
出版: (2022-07-01)
由: Tuo Sun, et al.
出版: (2022-07-01)
Implementing Multiple Imputation for Missing Data in Longitudinal Studies When Models are Not Feasible: An Example Using the Random Hot Deck Approach
由: Wang C, et al.
出版: (2022-11-01)
由: Wang C, et al.
出版: (2022-11-01)
Estimating Missing Panel Data with Regression and Multivariate Imputation by Chained Equations (MICE)
由: Budi Susetyo, et al.
出版: (2024-05-01)
由: Budi Susetyo, et al.
出版: (2024-05-01)
Multiple imputation for handling missing outcome data when estimating the relative risk
由: Thomas R. Sullivan, et al.
出版: (2017-09-01)
由: Thomas R. Sullivan, et al.
出版: (2017-09-01)
A computational strategy for estimation of mean using optimal imputation in presence of missing observation
由: Subhash Kumar Yadav, et al.
出版: (2024-03-01)
由: Subhash Kumar Yadav, et al.
出版: (2024-03-01)
A generative model for evaluating missing data methods in large epidemiological cohorts
由: Lav Radosavljević, et al.
出版: (2025-02-01)
由: Lav Radosavljević, et al.
出版: (2025-02-01)
Managing missing items in the Fagerström Test for Nicotine Dependence: a simulation study
由: Shannon L. Gutenkunst, et al.
出版: (2022-05-01)
由: Shannon L. Gutenkunst, et al.
出版: (2022-05-01)
Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction
由: Shangzhi Hong, et al.
出版: (2020-07-01)
由: Shangzhi Hong, et al.
出版: (2020-07-01)
CBRG: A Novel Algorithm for Handling Missing Data Using Bayesian Ridge Regression and Feature Selection Based on Gain Ratio
由: Samih M. Mostafa, et al.
出版: (2020-01-01)
由: Samih M. Mostafa, et al.
出版: (2020-01-01)
A novel 8-connected Pixel Identity GAN with Neutrosophic (ECP-IGANN) for missing imputation
由: Gamal M. Mahmoud, et al.
出版: (2024-10-01)
由: Gamal M. Mahmoud, et al.
出版: (2024-10-01)
Enhancing imputation accuracy for catch-all missing data mechanisms with DFBETAS and leverage
由: Fares Qeadan, et al.
出版: (2025-12-01)
由: Fares Qeadan, et al.
出版: (2025-12-01)
Impact of Missing Data on Data Quality in Social Research
由: Yaroslav Kostenko
出版: (2024-12-01)
由: Yaroslav Kostenko
出版: (2024-12-01)
Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review
由: Po Chan Chiu, et al.
出版: (2022-01-01)
由: Po Chan Chiu, et al.
出版: (2022-01-01)
Navigating the missing data maze: exploring multiple imputation techniques for environmental performance index data
由: Muhammed Haziq Muhammed Nor, et al.
出版: (2025-01-01)
由: Muhammed Haziq Muhammed Nor, et al.
出版: (2025-01-01)
Providing an imputation algorithm for missing values of longitudinal data using Cuckoo search algorithm: A case study on cervical dystonia
由: Amin Golabpour, et al.
出版: (2017-06-01)
由: Amin Golabpour, et al.
出版: (2017-06-01)
A comparison of multiple imputation methods for missing data in longitudinal studies
由: Md Hamidul Huque, et al.
出版: (2018-12-01)
由: Md Hamidul Huque, et al.
出版: (2018-12-01)
Missing data imputation using classification and regression trees
由: Cheng-Yang Chen, et al.
出版: (2024-06-01)
由: Cheng-Yang Chen, et al.
出版: (2024-06-01)
A wide range of missing imputation approaches in longitudinal data: a simulation study and real data analysis
由: Mina Jahangiri, et al.
出版: (2023-07-01)
由: Mina Jahangiri, et al.
出版: (2023-07-01)
Two-stage multiple imputation with a longitudinal composite variable
由: Xuzhi Wang, et al.
出版: (2025-05-01)
由: Xuzhi Wang, et al.
出版: (2025-05-01)
Imputing Missing Data in Hourly Traffic Counts
由: Muhammad Awais Shafique
出版: (2022-12-01)
由: Muhammad Awais Shafique
出版: (2022-12-01)
Missing Data Imputation in Internet of Things Gateways
由: Cinthya M. França, et al.
出版: (2021-10-01)
由: Cinthya M. França, et al.
出版: (2021-10-01)
Effect of Missing Data Types and Imputation Methods on Supervised Classifiers: An Evaluation Study
由: Menna Ibrahim Gabr, et al.
出版: (2023-03-01)
由: Menna Ibrahim Gabr, et al.
出版: (2023-03-01)
Imputation of precipitation data in northeast Brazil
由: DANIELE T. RODRIGUES, et al.
出版: (2023-06-01)
由: DANIELE T. RODRIGUES, et al.
出版: (2023-06-01)
Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi
由: Kimberly T. To, et al.
出版: (2018-06-01)
由: Kimberly T. To, et al.
出版: (2018-06-01)
How much missing data is too much to impute for longitudinal health indicators? A preliminary guideline for the choice of the extent of missing proportion to impute with multiple imputation by chained equations
由: K. P. Junaid, et al.
出版: (2025-02-01)
由: K. P. Junaid, et al.
出版: (2025-02-01)
Multiple imputation using chained equations for missing data in survival models applied to multidrug-resistant tuberculosis and HIV data
由: Sizwe Vincent Mbona, et al.
出版: (2023-08-01)
由: Sizwe Vincent Mbona, et al.
出版: (2023-08-01)
A Comparison of Different Methods for Rainfall Imputation: A Galician Case Study
由: José Vidal-Paz, et al.
出版: (2023-11-01)
由: José Vidal-Paz, et al.
出版: (2023-11-01)
Multiple imputation of missing data under missing at random: including a collider as an auxiliary variable in the imputation model can induce bias
由: Elinor Curnow, et al.
出版: (2023-09-01)
由: Elinor Curnow, et al.
出版: (2023-09-01)
Evaluating the validity of multiple imputation for missing physiological data in the national trauma data bank
由: Moore Lynne, et al.
出版: (2009-01-01)
由: Moore Lynne, et al.
出版: (2009-01-01)
Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes
由: Nesrin Alkan, et al.
出版: (2019-08-01)
由: Nesrin Alkan, et al.
出版: (2019-08-01)
Clustering column-mean quantile median: a new methodology for imputing missing data
由: Nourhan Yehia, et al.
出版: (2022-12-01)
由: Nourhan Yehia, et al.
出版: (2022-12-01)
Missing data and multiple imputation in clinical epidemiological research
由: Pedersen AB, et al.
出版: (2017-03-01)
由: Pedersen AB, et al.
出版: (2017-03-01)
Addressing the Curse of Missing Data in Clinical Contexts: A Novel Approach to Correlation-based Imputation
由: Isabel Curioso, et al.
出版: (2023-06-01)
由: Isabel Curioso, et al.
出版: (2023-06-01)
相似書籍
-
Outcome-sensitive multiple imputation: a simulation study
由: Evangelos Kontopantelis, et al.
出版: (2017-01-01) -
Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review
由: Marziyeh Afkanpour, et al.
出版: (2024-08-01) -
Handling Planned and Unplanned Missing Data in a Longitudinal Study
由: Caron-Diotte, Mathieu, et al.
出版: (2023-06-01) -
Classification of breast cancer recurrence based on imputed data: a simulation study
由: Rahibu A. Abassi, et al.
出版: (2022-12-01) -
Missing data imputation of climate time series: A review
由: Lizette Elena Alejo-Sanchez, et al.
出版: (2025-12-01)
