# Analyzing uncertainty in cardiotocogram data for the prediction of fetal risks based on machine learning techniques using rough set

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/analyzing-uncertainty-in-cardiotocogram-data-for-the-prediction-of-fetal-risks/

## Facts

| Field | Value |
| --- | --- |
| Author Names | E. Kannan,S Ravikumar,A. Anitha,Sathish Kumar,M. Vijayasarathy |
| Citations | 35 |
| DOI | 10.1007/s12652-020-02803-4 |
| Fields | Computer Science,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3118680072 |
| Type | article |
| Year | 2021 |

## Paper authors

- [E. Kannan](https://scholariq.org/researchers/e-kannan/)

## Paper primary topic

- [Rough Sets and Fuzzy Logic](https://scholariq.org/topics/rough-sets-and-fuzzy-logic/)

## Paper topics

- [Rough Sets and Fuzzy Logic](https://scholariq.org/topics/rough-sets-and-fuzzy-logic/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [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.