# Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-models-for-predicting-significant-liver-fibrosis-in-patients/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chien-Hung Lu,Weu Wang,Yu‐Chuan Li,I‐Wei Chang,Chi‐Long Chen,Chien‐Wei Su,Chun‐Chao Chang,Wei‐Yu Kao |
| Citations | 12 |
| DOI | 10.1007/s11695-024-07548-z |
| Fields | Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4403778375 |
| PMID | 39448457 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Chien-Hung Lu](https://scholariq.org/researchers/chien-hung-lu/)

## Paper journal

- [Obesity Surgery](https://scholariq.org/journals/obesity-surgery/)

## Paper primary topic

- [Liver Disease Diagnosis and Treatment](https://scholariq.org/topics/liver-disease-diagnosis-and-treatment/)

## Paper topics

- [Liver Disease Diagnosis and Treatment](https://scholariq.org/topics/liver-disease-diagnosis-and-treatment/)
- [Hepatocellular Carcinoma Treatment and Prognosis](https://scholariq.org/topics/hepatocellular-carcinoma-treatment-and-prognosis/)
- [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.