Article

Automatic Detection of Liver Diseases based on Supervised Learning Algorithms

2024-04-29

Abstract excerpt

<title>Abstract</title> <p>The incidence of Liver disease has been steadily rising due to the excessive consumption of alcohol, exposure to harmful gases through inhalation, consumption of contaminated food, and the use of certain drugs. Dataset was used that extracted from ultrasound images for liver, and some chemical compounds (bilirubin, albumin, proteins, alkaline phosphatase) present in human body as featur...

Topics

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

Identifiers and source

Literature Corpus work: accfdd76-c2b4-5470-b5d8-d4ba401037bd
DOI: 10.21203/rs.3.rs-4298719/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Automatic Detection of Liver Diseases based on Supervised Learning AlgorithmsDOI 10.21203/rs.3.rs-4298719/v1Read

Automatic Detection of Liver Disease Using Voting Ensemble MethodSemantic proximity Read

Detection and classification of liver cancers using computed tomography imagesSemantic proximity Read

Integrating Machine Learning and In Silico Analysis for Enhanced Detection and Treatment of NAFLD-Linked Hepatocellular CarcinomaSemantic proximity Read

Application of Artificial Intelligence in Chronic Liver Diseases: A Systematic Review and Meta-analysisSemantic proximity Read

Combining data mining and image processing techniques to establish abnormal image prediction mode to increase radiologists' reports quality — use liver cancer patients as an exampleSemantic proximity Read

Machine learning-based mortality prediction models for non-alcoholic fatty liver disease in the general United States populationSemantic proximity Read

Machine Learning-Based Identification of Potentially Novel Non-Alcoholic Fatty Liver Disease BiomarkersSemantic proximity Read

Predictive Modelling and Remedy Effectiveness for Non-Alcoholic Fatty Liver Disease from Ultrasound Image Using Machine Learning TechniquesSemantic proximity Read

Machine Learning Soft Voting Algorithm for Prediction and Detection of Nonalcoholic Fatty Liver DiseaseSemantic proximity Read

Hepatitis C Virus Prediction Based on Machine Learning Framework: a Real-world Case Study in EgyptSemantic proximity Read

Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.Semantic proximity Read

A machine learning-based model for assessing the risk of new-onset liver injury following cardiac surgery under cardiopulmonary bypassSemantic proximity Read