Machine-Learning Approach for the Development of a Novel Predictive Model for the Diagnosis of Hepatocellular Carcinoma

Scientific Reports - United Kingdom
doi 10.1038/s41598-019-44022-8
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Hybridized Extreme Learning Machine Model With Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application

Complexity
MultidisciplinaryComputer Science
2020English

A Novel Expertise-Guided Machine Learning Model for Internal Fault State Diagnosis of Power Transformers

Sustainability
DevelopmentManagementMonitoringEnvironmental ScienceRenewable EnergyEnergy EngineeringLawSustainabilityPlanningPolicyPower Technologythe EnvironmentGeography
2019English

A Novel microRNAs Expression Signature for Hepatocellular Carcinoma Diagnosis and Prognosis

Oncotarget
Oncology
2017English

A Predictive Machine Learning Approach for Microstructure Optimization and Materials Design

Scientific Reports
Multidisciplinary
2015English

A Novel Machine Learning-Based Approach for the Risk Assessment of Nitrate Groundwater Contamination

Science of the Total Environment
DisposalEnvironmental ChemistryWaste ManagementEnvironmental EngineeringPollution
2018English

Magnetic Resonance Imaging Biomarkers for the Early Diagnosis of Alzheimer's Disease: A Machine Learning Approach

Frontiers in Neuroscience
Neuroscience
2015English

An Interpretable Machine Learning Model for Diagnosis of Alzheimer's Disease

PeerJ
GeneticsMolecular BiologyBiochemistryBiological SciencesMedicineAgriculturalNeuroscience
2019English

Machine Learning Algorithms Outperform Conventional Regression Models in Predicting Development of Hepatocellular Carcinoma

American Journal of Gastroenterology
HepatologyGastroenterology
2013English

Circulating MicroRNA-122 for the Diagnosis of Hepatocellular Carcinoma: A Meta-Analysis

BioMed Research International
ImmunologyMolecular BiologyBiochemistryMicrobiology MedicineGenetics
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy