# Improving Thyroid Disorder Diagnosis via Ensemble Stacking and Bidirectional Feature Selection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improving-thyroid-disorder-diagnosis-via-ensemble-stacking-and-bidirectional/

## Facts

| Field | Value |
| --- | --- |
| Author Names | M. Latif,Zohaib Mushtaq,Saad Arif,Sara Rehman,Muhammad Farrukh Qureshi,Nagwan Abdel Samee,Maali Alabdulhafith,Yeong Hyeon Gu,Mohammed A. Al‐masni |
| Citations | 51 |
| DOI | 10.32604/cmc.2024.047621 |
| Fields | Computer Science,Health Professions |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.techscience.com/cmc/online/detail/20171/pdf |
| OpenAlex ID | https://openalex.org/W4393012885 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Sara Rehman](https://scholariq.org/researchers/sara-rehman/)

## Paper journal

- [Computers, materials & continua/Computers, materials & continua (Print)](https://scholariq.org/journals/computers-materials-and-continua-computers-materials-and-continua-print/)

## 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/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Data Stream Mining Techniques](https://scholariq.org/topics/data-stream-mining-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.