# Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-machine-learning-applied-to-real-world-healthcare-data-for-predictive/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Stephen S. Johnston,John M. Morton,Iftekhar Kalsekar,Eric M. Ammann,Chia‐Wen Hsiao,Jenna Reps |
| Citations | 80 |
| DOI | 10.1016/j.jval.2019.01.011 |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2946061185 |
| PMID | 31104738 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Chia‐Wen Hsiao](https://scholariq.org/researchers/chia-wen-hsiao/)

## Paper journal

- [Value in Health](https://scholariq.org/journals/value-in-health/)

## 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/)
- [Hyperglycemia and glycemic control in critically ill and hospitalized patients](https://scholariq.org/topics/hyperglycemia-and-glycemic-control-in-critically-ill-and-hospitalized-patients/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.