# Empowering healthcare with NLP-driven deep learning unveiling biomedical materials through text mining

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/empowering-healthcare-with-nlp-driven-deep-learning-unveiling-biomedical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dileep Pulugu,Shaik Khaleel Ahamed,Senthil Vadivu Arumugam,S. Koteswari,Nisarg Gandhewar,U. D. Prasan |
| Citations | 0 |
| DOI | 10.58414/scientifictemper.2024.15.2.01 |
| Fields | Biochemistry, Genetics and Molecular Biology,Health Professions |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://scientifictemper.com/index.php/tst/article/download/1080/909 |
| OpenAlex ID | https://openalex.org/W4399740931 |
| Type | article |
| Year | 2024 |

## Paper authors

- [U. D. Prasan](https://scholariq.org/researchers/u-d-prasan/)

## Paper journal

- [THE SCIENTIFIC TEMPER](https://scholariq.org/journals/the-scientific-temper/)

## Paper primary topic

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)

## Paper topics

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.