ArticleComputational and mathematical methods in medicine2018
Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling.
Article in Computational and mathematical methods in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
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- Multiple-Perspective Data-Driven Analysis of Online Health Communities.Healthcare (Basel, Switzerland) · 2023Article
- BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images.Interdisciplinary sciences, computational life sciences · 2023Article
- Classification and Prediction of Skyrmion Material Based on Machine Learning.Research (Washington, D.C.) · 2023Article
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- Research on Ultrasonic Image Recognition Based on Optimization Immune Algorithm.Computational and mathematical methods in medicine · 2021Article
- A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study.Computational and mathematical methods in medicine · 2020Article
- Employing feature engineering strategies to improve the performance of machine learning algorithms on echocardiogram dataset.Digital healthArticle
- LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification.Technology in cancer research & treatmentArticle
- Cost-Effective Machine Learning Based Clinical Pre-Test Probability Strategy for DVT Diagnosis in Neurological Intensive Care Unit.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
- Predicting death risk analysis in fully vaccinated people using novel extreme regression-voting classifier.Digital healthArticle
- Chronic disease diagnosis model based on convolutional neural network and ensemble learning method.Digital healthArticle
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Authors and funding
1 author.
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Abstract
Text mining is an important research direction, which involves several fields, such as information retrieval, information extraction, and text categorization. In this paper, we propose an efficient multiple classifier approach to text categorization based on swarm-optimized topic modelling. The Latent Dirichlet allocation (LDA) can overcome the high dimensionality problem of vector space model, but identifying appropriate parameter values is critical to performance of LDA. Swarm-optimized approach estimates the parameters of LDA, including the number of topics and all the other parameters involved in LDA. The hybrid ensemble pruning approach based on combined diversity measures and clustering aims to obtain a multiple classifier system with high predictive performance and better diversity. In this scheme, four different diversity measures (namely, disagreement measure,
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.