# An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-ensemble-heterogeneous-classification-methodology-for-discovering-health/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Suppawong Tuarob,Conrad S. Tucker,Marcel Salathé,Nilám Ram |
| Citations | 113 |
| DOI | 10.1016/j.jbi.2014.03.005 |
| Fields | Computer Science,Medicine,Social Sciences |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1532046414000628/pdf |
| OpenAlex ID | https://openalex.org/W2172263659 |
| PMID | 24642081 |
| Type | article |
| Year | 2014 |

## Paper authors

- [Conrad S. Tucker](https://scholariq.org/researchers/conrad-s-tucker/)

## Paper journal

- [Journal of Biomedical Informatics](https://scholariq.org/journals/journal-of-biomedical-informatics/)

## Paper primary topic

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

## Paper topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Data-Driven Disease Surveillance](https://scholariq.org/topics/data-driven-disease-surveillance/)
- [Social Media in Health Education](https://scholariq.org/topics/social-media-in-health-education/)

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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.