# Clustering based imputation algorithm using unsupervised neural network for enhancing the quality of healthcare data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/clustering-based-imputation-algorithm-using-unsupervised-neural-network-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | K. Shobha,S. Nickolas |
| Citations | 20 |
| DOI | 10.1007/s12652-020-02250-1 |
| Fields | Computer Science,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3037425138 |
| Type | article |
| Year | 2020 |

## Paper authors

- [S. Nickolas](https://scholariq.org/researchers/s-nickolas/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.