# Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/assessment-of-electronic-health-record-for-cancer-research-and-patient-care/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Liwei Wang,Sunyang Fu,Andrew Wen,Xiaoyang Ruan,Huan He,Sijia Liu,Sungrim Moon,Michelle Mai,Irbaz Bin Riaz,Nan Wang,Ping Yang,Hua Xu,Jeremy L. Warner,Hongfang Liu |
| Citations | 51 |
| DOI | 10.1200/cci.22.00006 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://ascopubs.org/doi/pdfdirect/10.1200/CCI.22.00006 |
| OpenAlex ID | https://openalex.org/W4289531747 |
| PMID | 35917480 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Michelle Mai](https://scholariq.org/researchers/michelle-mai/)

## 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/)

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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.