Fatty Liver Disease Prediction Model Based on Big Data of Electronic Physical Examination Records
Bibliographic Data
| ID | 22083036 |
|---|---|
| Authors | Mingqi Zhao (0000-0002-2804-9565, Xiamen University), Changjun Song, Song Changjun (Changji University), Tao Luo (0000-0001-9959-2453, Xiamen University), Tianyue Huang (Xiamen University), Siming Lin (0000-0001-5125-7357, Xiamen University, corresponding author), Shiming Lin |
| Year | 2021 |
| Volume | 9 |
| Pages | 668351-668351 |
| Publication date | 2021-04-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.668351 |
| PMID | 33912534 |
| OpenAlex | W3156846436 |
| Language | EN |
| References cited | 22 |
Fatty liver disease (FLD) is a common liver disease, which poses a great threat to people's health, but there is still no optimal method that can be used on a large-scale screening. This research is based on machine learning algorithms, using electronic physical examination records in the health database as data support, to a predictive model for FLD. The model has shown good predictive ability on the test set, with its AUC reaching 0.89. Since there are a large number of electronic physical examination records in most of health database, this model might be used as a non-invasive diagnostic tool for FLD for large-scale screening
Big data · Data mining · Data set · Disease · Fatty liver · Health care · Health examination · Health records · Machine learning · Medical record · Pathology · Physical examination · Test set · Artificial Intelligence in Healthcare · Computer Science · Liver Disease Diagnosis and Treatment · Medicine · Artificial Intelligence · Internal Medicine
Ensemble Methods in Machine Learning
Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves
Global epidemiology of nonalcoholic fatty liver disease—Meta‐analytic assessment of prevalence, incidence, and outcomes
The diagnosis and management of nonalcoholic fatty liver disease
Detecting Examinees With Item Preknowledge in Large-Scale Testing Using Extreme Gradient Boosting (XGBoost)
The Chi-Square Test
| Citation velocity | historical |
|---|---|
| Highly cited | No |