# Systematic review of machine learning models in predicting the risk of bleed/grade of esophageal varices in patients with liver cirrhosis: A comprehensive methodological analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/systematic-review-of-machine-learning-models-in-predicting-the-risk-of-bleed/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sheza Malik,Bettina Gabrielle Tenorio,Vishali Moond,Dushyant Singh Dahiya,Ravi Vora,Nader Dbouk |
| Citations | 15 |
| DOI | 10.1111/jgh.16645 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jgh.16645 |
| OpenAlex ID | https://openalex.org/W4399791075 |
| PMID | 38886175 |
| Type | review |
| Year | 2024 |

## Paper authors

- [Vishali Moond](https://scholariq.org/researchers/vishali-moond/)

## Paper journal

- [Journal of Gastroenterology and Hepatology](https://scholariq.org/journals/journal-of-gastroenterology-and-hepatology/)

## Paper primary topic

- [Liver Disease and Transplantation](https://scholariq.org/topics/liver-disease-and-transplantation/)

## Paper topics

- [Liver Disease and Transplantation](https://scholariq.org/topics/liver-disease-and-transplantation/)
- [Liver Disease Diagnosis and Treatment](https://scholariq.org/topics/liver-disease-diagnosis-and-treatment/)
- [Gastroesophageal reflux and treatments](https://scholariq.org/topics/gastroesophageal-reflux-and-treatments/)

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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.