# Early Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithms with Least Parameters by RFE and Feature Importance Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/early-diagnosis-of-chronic-kidney-disease-using-machine-learning-algorithms-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | K. Kavitha,K. U. Kala |
| Citations | 1 |
| DOI | 10.1007/978-981-33-4389-4_17 |
| Fields | Computer Science,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3157063820 |
| Type | book-chapter |
| Year | 2021 |

## Paper authors

- [K. U. Kala](https://scholariq.org/researchers/k-u-kala/)

## 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/)
- [Smart Systems and Machine Learning](https://scholariq.org/topics/smart-systems-and-machine-learning/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

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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.