# A Comparative Study of Machine Learning Algorithms in Predicting Severe Complications after Bariatric Surgery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comparative-study-of-machine-learning-algorithms-in-predicting-severe/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yang Cao,Xin Fang,Johan Ottosson,Erik Näslund,Erik Stenberg |
| Citations | 103 |
| DOI | 10.3390/jcm8050668 |
| Fields | Computer Science,Mathematics,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2077-0383/8/5/668/pdf?version=1557821645 |
| OpenAlex ID | https://openalex.org/W2952025454 |
| PMID | 31083643 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Xin Fang](https://scholariq.org/researchers/xin-fang/)
- [Erik Stenberg](https://scholariq.org/researchers/erik-stenberg/)

## Paper journal

- [Journal of Clinical Medicine](https://scholariq.org/journals/journal-of-clinical-medicine/)

## Paper primary topic

- [Bariatric Surgery and Outcomes](https://scholariq.org/topics/bariatric-surgery-and-outcomes/)

## Paper topics

- [Bariatric Surgery and Outcomes](https://scholariq.org/topics/bariatric-surgery-and-outcomes/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [Statistical Methods in Epidemiology](https://scholariq.org/topics/statistical-methods-in-epidemiology/)

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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.