# Exploratory research on asthma exacerbation risk factors using the Japanese claims database and machine learning: a retrospective cohort study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/exploratory-research-on-asthma-exacerbation-risk-factors-using-the-japanese/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Soichiro Hozawa,Shotaro Maeda,Akira Kikuchi,Masayoshi Koinuma |
| Citations | 19 |
| DOI | 10.1080/02770903.2021.1923740 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3159865429 |
| PMID | 33926352 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Masayoshi Koinuma](https://scholariq.org/researchers/masayoshi-koinuma/)

## Paper primary topic

- [Asthma and respiratory diseases](https://scholariq.org/topics/asthma-and-respiratory-diseases/)

## Paper topics

- [Asthma and respiratory diseases](https://scholariq.org/topics/asthma-and-respiratory-diseases/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Respiratory and Cough-Related Research](https://scholariq.org/topics/respiratory-and-cough-related-research/)

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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.