A multi-feature hybrid classification data mining technique for human-emotion

A multi-feature hybrid classification data mining technique for human-emotion

Background and objectives: The ideal treatment of illnesses is the interest of every era. Data innovation in medical care has become extremely quick to analyze diverse diseases from the most recent twenty years. In such a finding, past and current information assume an essential job is utilizing and...

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Bibliographic Details
Main Authors: Abbas, S.Z (Author), Chammam, W. (Author), Chu, Y.M (Author), Khan, Y.A (Author), Thaljaoui, A. (Author), Wang, Y. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Article
artificial intelligence
classifier
conceptual framework
data classification
data mining
emotion
Feature selection
Health care
Human-physic
Hybrid classification
information processing
information retrieval
machine learning
Machine learning
medical care
model
prediction
Prediction
priority journal
Retrieval-ranking
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