# Enhancement of Patient Facial Recognition through Deep Learning Algorithm: ConvNet

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhancement-of-patient-facial-recognition-through-deep-learning-algorithm/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Edeh Michael Onyema,Piyush Kumar Shukla,Surjeet Dalal,Mayuri Neeraj Mathur,Mohammed Zakariah,Basant Tiwari |
| Citations | 82 |
| DOI | 10.1155/2021/5196000 |
| Fields | Computer Science,Medicine,Psychology |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://downloads.hindawi.com/journals/jhe/2021/5196000.pdf |
| OpenAlex ID | https://openalex.org/W4200041533 |
| PMID | 34912534 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Mohammed Zakariah](https://scholariq.org/researchers/mohammed-zakariah/)

## Paper journal

- [Journal of Healthcare Engineering](https://scholariq.org/journals/journal-of-healthcare-engineering/)

## Paper primary topic

- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)

## Paper topics

- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)
- [Face recognition and analysis](https://scholariq.org/topics/face-recognition-and-analysis/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.