Back to search

Article

Development and validation of a machine learning model to predict the risk of liver fibrosis

2023-12-02

Abstract excerpt

<h4>Background: </h4> Liver fibrosis has become a major chronic disease affecting global health and safety. It is a sustained wound healing response that can cause excessive deposition of extracellular matrix (ECM) and lead to cirrhosis and hepatocellular carcinoma (HCC). Developing and validating a machine learning model to predict the risk of liver fibrosis is crucial for developing personalized prevention and t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
83ba92d5-b4c5-59fc-ad58-85839610f79a
DOI
10.21203/rs.3.rs-3635118/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development and validation of a machine learning model to predict the risk of liver fibrosisDOI 10.21203/rs.3.rs-3635118/v1
Machine Learning–Based Prediction of Ultrasound-Detected Metabolic Dysfunction–Associated Steatotic Liver Disease Using Routine Clinical and Biochemical ParametersSemantic proximity
ADVANCED ARTIFICIAL INTELLIGENCE ENABLED METHODS FOR EARLY DETECTION OF NON-ALCOHOLIC FATTY LIVER DISEASE AND ASSOCIATED HEALTH RISKSSemantic proximity
IHCP: interpretable hepatitis C prediction system based on black-box machine learning modelsSemantic proximity
Machine learning-based mortality prediction models for non-alcoholic fatty liver disease in the general United States populationSemantic proximity
Machine learning-based integration reveals reliable biomarkers and potential mechanisms of NASH progression to fibrosisSemantic proximity
A machine learning and SHAP-based systems analysis of post-translational modification–related genes in nonalcoholic steatohepatitisSemantic proximity
Extracellular Vesicles as Biomarkers for Steatosis Stages in MASLD Patients: an Algorithmic Approach Using Explainable Artificial IntelligenceSemantic proximity
Extracellular Vesicles as Biomarkers for Steatosis Stages in MASLD Patients: an Algorithmic Approach Using Explainable Artificial IntelligenceSemantic proximity
Explainable SHAP-XGBoost model for predicting post-operative mortality risk of pancreatic ductal adenocarcinomaSemantic proximity
Comparative Performance of Linear Regression and Machine Learning Models for Predicting Glycemic Status in Uncontrolled Type 2 Diabetes: SHAP-Based AnalysisSemantic proximity
Predictive Modelling and Remedy Effectiveness for Non-Alcoholic Fatty Liver Disease from Ultrasound Image Using Machine Learning TechniquesSemantic proximity
SFI, a sex hormone binding globulin based nomogram for predicting non-alcoholic fatty liver in the Chinese populationSemantic proximity
Select a neighboring publication to make it the new centre.