# Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-intervention-for-health-care-challenges-some-biomedical-domain/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tobore Igbe,Jingzhen Li,Yuhang Liu,Yousef Al-Handarish,Abhishek Kandwal,Zedong Nie,Lei Wang |
| Citations | 189 |
| DOI | 10.2196/11966 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.2196/11966 |
| OpenAlex ID | https://openalex.org/W2949497754 |
| PMID | 31376272 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Jingzhen Li](https://scholariq.org/researchers/jingzhen-li/)
- [Lei Wang](https://scholariq.org/researchers/lei-wang-2/)

## 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/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.