A Novel Method for Evaluating the Cardiotoxicity of Traditional Chinese Medicine Compatibility by Using Support Vector Machine Model Combined With Metabonomics

Evidence-based Complementary and Alternative Medicine - Egypt
doi 10.1155/2016/6012761
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Hindawi Limited

Related search

The Applications and Obstacles of Metabonomics in Traditional Chinese Medicine

Evidence-based Complementary and Alternative Medicine
Alternative MedicineComplementary
2012English

Novel Approach for Rooftop Detection Using Support Vector Machine

ISRN Machine Vision
2013English

Model Selection for Support Vector Machine Classification

Neurocomputing
Computer Science ApplicationsArtificial IntelligenceCognitive Neuroscience
2003English

Support Vector Machine Method for Predicting Investment Measures

Statistics and Economics
2016English

Efficient Prediction of Progesterone Receptor Interactome Using a Support Vector Machine Model

International Journal of Molecular Sciences
Organic ChemistryMolecular BiologyTheoretical ChemistryInorganic ChemistryComputer Science ApplicationsSpectroscopyMedicineCatalysisPhysical
2015English

A Novel Method for Recognizing Vietnamese Voice Commands on Smartphones With Support Vector Machine and Convolutional Neural Networks

Wireless Communications and Mobile Computing
Computer NetworksElectronic EngineeringInformation SystemsElectricalCommunications
2020English

Cash Flow Prediction for Construction Project Using a Novel Adaptive Time-Dependent Least Squares Support Vector Machine Inference Model

Journal of Civil Engineering and Management
CivilManagementStructural EngineeringStrategy
2015English

A Novel Improved Fuzzy Support Vector Machine Based Stock Price Trend Forecast Model

2017English

Digital Terrain Model Height Estimation Using Support Vector Machine Regression

South African Journal of Science
Planetary SciencesGeneticsMolecular BiologyBiochemistryBiological SciencesEarthAgricultural
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy