# Machine learning approaches to predicting no-shows in pediatric medical appointment

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-approaches-to-predicting-no-shows-in-pediatric-medical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dianbo Liu,Won-Yong Shin,Eli Sprecher,Kathleen Conroy,Omar Santiago,Gal Wachtel,Mauricio Santillana |
| Citations | 48 |
| DOI | 10.1038/s41746-022-00594-w |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-022-00594-w.pdf |
| OpenAlex ID | https://openalex.org/W4224211318 |
| PMID | 35444260 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Kathleen Conroy](https://scholariq.org/researchers/kathleen-conroy/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-medicine/)

## Paper primary topic

- [Healthcare Operations and Scheduling Optimization](https://scholariq.org/topics/healthcare-operations-and-scheduling-optimization/)

## Paper topics

- [Healthcare Operations and Scheduling Optimization](https://scholariq.org/topics/healthcare-operations-and-scheduling-optimization/)
- [Hospital Admissions and Outcomes](https://scholariq.org/topics/hospital-admissions-and-outcomes/)
- [Healthcare Technology and Patient Monitoring](https://scholariq.org/topics/healthcare-technology-and-patient-monitoring/)

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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.