# Machine Learning-Based Model for Predicting 1 Year Mortality of Hospitalized Patients with Heart Failure

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-based-model-for-predicting-1-year-mortality-of-hospitalized/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Takeshi Tohyama,Tomomi Ide,Masataka Ikeda,Hidetaka Kaku,Nobuyuki Enzan,Shouji Matsushima,Kouta Funakoshi,Junji Kishimoto,Koji Todaka,Hiroyuki Tsutsui |
| Citations | 46 |
| DOI | 10.1002/ehf2.13556 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1002/ehf2.13556 |
| OpenAlex ID | https://openalex.org/W3188788033 |
| PMID | 34390311 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Takeshi Tohyama](https://scholariq.org/researchers/takeshi-tohyama/)
- [Nobuyuki Enzan](https://scholariq.org/researchers/nobuyuki-enzan/)

## Paper journal

- [ESC Heart Failure](https://scholariq.org/journals/esc-heart-failure/)

## Paper primary topic

- [Heart Failure Treatment and Management](https://scholariq.org/topics/heart-failure-treatment-and-management/)

## Paper topics

- [Heart Failure Treatment and Management](https://scholariq.org/topics/heart-failure-treatment-and-management/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Cardiovascular Function and Risk Factors](https://scholariq.org/topics/cardiovascular-function-and-risk-factors/)

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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.