# Deep Learning for Health Informatics

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-health-informatics/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Daniele Ravì,Charence Wong,Fani Deligianni,Melissa Berthelot,Javier Andreu-Pérez,Benny Lo,Guang‐Zhong Yang |
| Citations | 2,002 |
| DOI | 10.1109/jbhi.2016.2636665 |
| Fields | Computer Science,Health Professions |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1109/jbhi.2016.2636665 |
| OpenAlex ID | https://openalex.org/W2561981131 |
| PMID | 28055930 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Benny Lo](https://scholariq.org/researchers/benny-lo/)
- [Guang‐Zhong Yang](https://scholariq.org/researchers/guang-zhong-yang/)

## Paper journal

- [IEEE Journal of Biomedical and Health Informatics](https://scholariq.org/journals/ieee-journal-of-biomedical-and-health-informatics/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.