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Feature selection / Swarm behaviour / Genetic algorithm / Cross-validation / Bayesian network / Statistics / Model selection / Dimension reduction


Identifying Potential Clinical Syndromes of Hepatocellular Carcinoma Using PSO-Based Hierarchical Feature Selection Algorithm
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City

PSOHFS / swarm optimization / /

Company

Ctc Tct Pct Coc Wbc Od Ch Hf / Abbreviation LC / Creative Commons / Hindawi Publishing Corporation / Intel / /

Currency

ZAR / /

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Facility

The Key Laboratory of Embedded System / Tongji University / China The Advanced Research Institute of Intelligent Sensing Network / /

IndustryTerm

grid search / simulated annealing algorithm / inference algorithm / genetic algorithm / dimensional search space / steady solution / coarser-grained network / local search / population-based random optimization algorithm / stable solution / crosssectional imaging / be achieved using inference algorithm / /

MedicalCondition

optimal syndrome / sternocostal and abdominal pain / abdominal pain / advanced disease / cancer / common malignant tumors / shortness of breath / Hepatocellular carcinoma / cirrhosis / Introduction Hepatocellular carcinoma / Pleural effusion / each syndrome / depression / same syndrome / syndrome / th syndrome / /

MedicalTreatment

Traditional Chinese Medicine / alternative medicine / /

MusicGroup

Nausea / /

Organization

Advanced Research Institute / Tongji University / Shanghai / School of Electronics and Information Engineering / Ministry of Education / /

Person

Bing Wang / Jose C. Nacher / /

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Position

Academic Editor / proposed PSOHFS model for feature subset optimizing / /

Technology

simulated annealing algorithm / RAM / using inference algorithm / PSO algorithm / developed CBPSO algorithm / improved PSO-based algorithm / GES algorithm / using GES algorithm / improved PSO algorithm / population-based random optimization algorithm / CBPSO algorithm / BPSO algorithm / /

URL

http /

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