# A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-machine-learning-model-for-predicting-risk-of-hospital-readmission-within-30/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mirza Mansoor Baig,Ning Hua,Edmond Zhang,R. R. Rejimol Robinson,Anna Spyker,Delwyn Armstrong,Robyn Whittaker,Tom Robinson,Ehsan Ullah |
| Citations | 13 |
| DOI | 10.1007/s11517-020-02165-1 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3020792346 |
| PMID | 32328883 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Ning Hua](https://scholariq.org/researchers/ning-hua/)
- [R. R. Rejimol Robinson](https://scholariq.org/researchers/r-r-rejimol-robinson/)

## Paper journal

- [Medical & Biological Engineering & Computing](https://scholariq.org/journals/medical-and-biological-engineering-and-computing/)

## 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/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Emergency and Acute Care Studies](https://scholariq.org/topics/emergency-and-acute-care-studies/)

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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.