# Natural Language Processing Applications for Computer-Aided Diagnosis in Oncology

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/natural-language-processing-applications-for-computer-aided-diagnosis-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chengtai Li,Yiming Zhang,Ying Weng,Boding Wang,Zhenzhu Li |
| Citations | 64 |
| DOI | 10.3390/diagnostics13020286 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2075-4418/13/2/286/pdf?version=1673516485 |
| OpenAlex ID | https://openalex.org/W4315781034 |
| PMID | 36673096 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Boding Wang](https://scholariq.org/researchers/boding-wang/)
- [Yiming Zhang](https://scholariq.org/researchers/yiming-zhang/)
- [Ying Weng](https://scholariq.org/researchers/ying-weng/)

## Paper journal

- [Diagnostics](https://scholariq.org/journals/diagnostics/)

## Paper primary topic

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Paper topics

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)

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