journal article·2024Open access

An Enhanced Integrated Method for Healthcare Data Classification with Incompleteness

Sonia Goel, Meena Tushir, Jyoti Arora, Tripti Sharma, Deepali Gupta, Ali Nauman, Ghulam Muhammad

Computers, Materials & Continua· Volume 81· Issue 2

Abstract

In numerous real-world healthcare applications, handling incomplete medical data poses significant challenges for missing value imputation and subsequent clustering or classification tasks. Traditional approaches often rely o... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Artificial Intelligence in Healthcare

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (47)

Show source-provided references
1. Application of data mining techniques in customer relationship management: A literature review and classification10.1016/j.eswa.2008.02.021 ↗
2. Advanced microstructure classification by data mining methods10.1016/j.commatsci.2018.03.004 ↗
3. IAM graph database repository for graph based pattern recognition and machine learning
4. A new edited k-nearest neighbor rule in the pattern classification problem10.1016/S0031-3203(99)00068-0 ↗
5. Recent trends in mathematical expressions recognition: An LDA-based analysis
6. Machine learning models for mathematical symbol recognition: A stem to stern literature analysis10.1007/s11042-022-12644-2 ↗
7. Machine-learning techniques for customer retention: A comparative study
8. Medical data classification assisted by machine learning strategy
9. Missing data in educational research: A review of reporting practices and suggestions for improvement10.3102/00346543074004525 ↗
10. Handling missing data in clinical research10.1016/j.jclinepi.2022.08.016 ↗
11. MSH-Net: Modality-shared hallucination with joint adaptation distillation for remote sensing image classification using missing modalities
12. Filtering airborne laser scanning data with morphological methods10.14358/PERS.73.2.175 ↗
13. Analysis of machine learning based imputation of missing data10.1080/01969722.2023.2247257 ↗
14. Imputation of missing data in electronic health records based on patients’ similarities10.1007/s41666-020-00073-5 ↗
15. LI-EMRSQL: Linking information enhanced Text2SQL parsing on complex electronic medical records10.1109/TR.2023.3336330 ↗
16. Little · Statistical Analysis with Missing Data · 2019
17. A novel framework for imputation of missing values in databases10.1109/TSMCA.2007.902631 ↗
18. Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques10.1016/j.artmed.2023.102587 ↗
19. A hybrid unsupervised clustering-based anomaly detection method10.26599/TST.2019.9010051 ↗
20. Document clustering: A detailed review
21. n-Gram-based classification and unsupervised hierarchical clustering of genome sequences10.1016/j.cmpb.2005.11.007 ↗
22. Missing data imputation on biomedical data using deeply learned clustering and L2 regularized regression based on symmetric uncertainty10.1016/j.artmed.2021.102214 ↗
23. An efficient approach for imputation and classification of medical data values using class-based clustering of medical records10.1016/j.compeleceng.2017.11.030 ↗
24. A machine learning approach for imputation and anomaly detection in IoT environment10.1111/exsy.12556 ↗
25. Regression on imperfect class labels derived by unsupervised clustering10.1093/bib/bbaa014 ↗
26. Classification via clustering for predicting final marks based on student participation in forums
27. Effective handling of missing values in datasets for classification using machine learning methods10.3390/info14020092 ↗
28. Missing values for classification of machine learning in medical data
29. K nearest neighbours with mutual information for simultaneous classification and missing data imputation10.1016/j.neucom.2008.11.026 ↗
30. Nearest neighbor selection for iteratively kNN imputation10.1016/j.jss.2012.05.073 ↗
31. Noor · Materials Science Forum · 2015 · 803 · 27810.4028/www.scientific.net/MSF.803.278 ↗
32. Different approaches for missing data handling in fuzzy clustering: A review
33. A new imputation-based incomplete data-driven fuzzy modeling for accuracy improvement in ubiquitous computing applications10.1108/IJPCC-03-2021-0069 ↗
34. An investigation of the imputation techniques for missing values in ordinal data enhancing clustering and classification analysis validity
35. Fuzzy c-means clustering of incomplete data10.1109/3477.956035 ↗
36. Optimised multiple data partitions for cluster-wise imputation of missing values in gene expression data10.1016/j.eswa.2024.125040 ↗
37. Missing data handling methods10.1002/9781118489772.ch6 ↗
38. An implementation of naive bayes classifier
39. Imputation methods to deal with missing values when data mining trauma injury data
40. The impact of missing data and imputation methods on the analysis of 24-hour activity patterns10.3390/clockssleep4040039 ↗
41. Missing data imputation using statistical and machine learning methods in a real breast cancer problem10.1016/j.artmed.2010.05.002 ↗
42. The rise of multiple imputation: A review of the reporting and implementation of the method in medical research
43. Data clustering method for discovering clusters in spatial cancer databases
44. Micro-directional propagation method based on user clustering10.31577/cai_2023_6_1445 ↗
45. MUMA: A multi-omics meta-learning algorithm for data interpretation and classification10.1109/JBHI.2024.3363081 ↗
46. A new iterative fuzzy clustering approach for incomplete data
47. K. Bache and M. Lichman, “UCI machine learning repository,” 2013. Accessed: Jul. 20, 2024. [Online]. Available: https://archive.ics.uci.edu/datasets