# Multi‐label feature selection with application to TCM state identification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multi-label-feature-selection-with-application-to-tcm-state-identification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Liang Dai,Jia Zhang,Candong Li,Changèn Zhou,Shaozi Li |
| Citations | 18 |
| DOI | 10.1002/cpe.4634 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2887024651 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Liang Dai](https://scholariq.org/researchers/liang-dai/)

## Paper primary topic

- [Traditional Chinese Medicine Studies](https://scholariq.org/topics/traditional-chinese-medicine-studies/)

## Paper topics

- [Traditional Chinese Medicine Studies](https://scholariq.org/topics/traditional-chinese-medicine-studies/)
- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)
- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)

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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.