Article
Biology
Mohammad Mahdi Ershadi, Zeinab Rahimi Rise, Seyed Taghi Akhavan Niaki
Summary: This study proposes a hierarchical model based on FCM clustering, Wrapper feature selection, and twelve classifiers to analyze treatment plans for GBM. The model combines clinical data, biomedical data, and image data to find the best decision, and it demonstrates good performance.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
Elnaz Pashaei, Elham Pashaei
Summary: This paper proposes a new wrapper feature selection method based on the chimp optimization algorithm for biomedical data classification. The experimental results demonstrate that the proposed method can effectively remove irrelevant features and improve classification accuracy.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Elham Pashaei, Elnaz Pashaei
Summary: This article introduces a new hybrid filter/wrapper gene selection method, mRMR-BAOAC-SA, to address the issue of redundant, noisy, and irrelevant genes in gene expression data. The proposed method was evaluated on multiple microarray datasets and demonstrated better classification accuracy and minimum selected genes compared to other methods.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Neurosciences
Yongqiang Dai, Lili Niu, Linjing Wei, Jie Tang
Summary: This paper proposes a feature selection method for high-dimensional biomedical data based on the chemotaxis foraging-shuffled frog leaping algorithm. The method is further improved by introducing chemokine operation and balanced grouping strategies, resulting in a better feature subset.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Health Care Sciences & Services
Aneta Polewko-Klim, Krzysztof Mnich, Witold R. Rudnicki
Summary: A hybrid protocol integrating clinical and molecular data was proposed for more effective classification of cancer patients. This method yielded promising results in predicting clinical endpoints for breast cancer and urothelial bladder carcinoma samples.
JOURNAL OF MEDICAL SYSTEMS
(2021)
Article
Automation & Control Systems
Xiaokang Wang, Huiwen Wang, Dexiang Wu
Summary: This study proposes an online dynamic feature weighting algorithm to monitor feature drift in data streams. The algorithm detects changes in class relevance of features based on the log-likelihood divergence score, and it has been shown to improve the accuracy rates of Nearest Neighbor and Naive Bayes classifiers on both synthetic and real-world datasets.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Harpreet Singh, Birmohan Singh, Manpreet Kaur
Summary: This study proposes an efficient feature selection and parameter optimization method for classifying high-dimensional biomedical datasets. By introducing the improved elephant herding optimization algorithm and data normalization techniques, the impact of noisy features can be reduced, and the optimal feature set can be obtained, thereby improving classification accuracy.
Article
Computer Science, Information Systems
Himansu Das, Bighnaraj Naik, H. S. Behera, Shalini Jaiswal, Priyanka Mahato, Minakhi Rout
Summary: This paper proposes a Neuro-Fuzzy model with post-feature reduction for analyzing complex biomedical data. The model handles uncertainty by fuzzifying input patterns and employs post-feature reduction to filter out irrelevant, redundant, and noisy features. The effectiveness of the proposed model has been tested and validated with benchmark biomedical data.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Jaber S. Alzahrani, Reem M. Alshehri, Mohammad Alamgeer, Anwer Mustafa Hilal, Abdelwahed Motwakel, Ishfaq Yaseen
Summary: This article introduces a novel feature subset selection technique for medical data classification, using artificial intelligence methods to design effective classification models, and solving the curse of dimensionality problem through normalization and information gain techniques.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Computer Science, Hardware & Architecture
Chinmay Chakraborty, Amit Kishor, Joel J. P. C. Rodrigues
Summary: This paper proposes a hybrid machine learning classification technique based on ensemble technique with enhanced-grey wolf optimization feature selection algorithm to analyze complex biomedical data. The experimental results show that the developed hybrid classifier achieves high accuracy, improving it by 11.90% compared to the conventional model.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Prativa Agarwalla, Sumitra Mukhopadhyay
Summary: This paper proposes a framework called GENEmops for gene selection and subsequent cancer classification. The framework uses a multi-objective player selection strategy and employs multi-filtering and adaptive parameter tuning methods for gene selection. By introducing a new graded rotational blending operator, the framework improves the performance of the hybrid wrapper scheme. Experimental results demonstrate the efficiency of the proposed framework.
APPLIED SOFT COMPUTING
(2022)
Article
Biochemical Research Methods
Vineet K. Raghu, Xiaoyu Ge, Arun Balajiee, Daniel J. Shirer, Isha Das, Panayiotis Benos, Panos K. Chrysanthis
Summary: Genome sequencing technologies have the potential to transform clinical decision making and biomedical research by enabling high-throughput measurements of the genome at a granular level. It is important to integrate high-throughput genomic data with demographic, phenotypic, environmental, and behavioral information, and infer relationships between these data types for better understanding of disease mechanisms and prediction of medical interventions. A new methodology called piPref-Div has been proposed to select informative variables for probabilistic graphical models, improving breast cancer outcome prediction and providing biologically interpretable views of gene expression data.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2021)
Article
Neurosciences
Lizhen Shao, Cong Fu, Yang You, Dongmei Fu
Summary: The paper proposes a method that uses DFS and GCN to classify ASD, by weighting and selecting functional connection features, successfully improving the performance of the GCN classifier and effectively distinguishing between ASD and typically developed individuals. Experimental results demonstrate that the method achieves outstanding performance on the ABIDE database.
COGNITIVE NEURODYNAMICS
(2021)
Article
Operations Research & Management Science
Clarisse Dhaenens, Laetitia Jourdan
Summary: This article introduces the use of metaheuristics to address data mining problems in the context of big data, including clustering, association rules, classification, and feature selection.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Computer Science, Hardware & Architecture
Xiao Li, Kewen Li
Summary: In this paper, the P-AdaBoost-PAUC algorithm is proposed to improve the classification performance of high-dimensional imbalanced biomedical data. The algorithm utilizes an improved decision tree attribute optimization algorithm and an improved AdaBoost algorithm based on probabilistic AUC. The experimental results show that the ensemble algorithm achieves high Recall, Specificity, F1, and AUC values, and exhibits good stability.
JOURNAL OF SUPERCOMPUTING
(2022)
Editorial Material
Computer Science, Artificial Intelligence
Yonghong Peng, Yufeng Zhang, Lipo Wang
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2010)
Article
Computer Science, Cybernetics
Qian Huang, Yuan Wu, John Baruch, Ping Jiang, Yonghong Peng
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
(2009)
Review
Computer Science, Interdisciplinary Applications
Xuezhong Zhou, Yonghong Peng, Baoyan Liu
JOURNAL OF BIOMEDICAL INFORMATICS
(2010)
Article
Dermatology
Michael Y. Fessing, Ruzanna Atoyan, Ben Shander, Andrei N. Mardaryev, Vladimir V. Botchkarev, Krzysztof Poterlowicz, Yonghong Peng, Tatiana Efimova, Vladimir A. Botchkarev
JOURNAL OF INVESTIGATIVE DERMATOLOGY
(2010)
Article
Biochemical Research Methods
K. M. McMahon, M. Volpato, H. Y. Chi, P. Musiwaro, K. Poterlowicz, Y. Peng, A. J. Scally, L. H. Patterson, R. M. Phillips, C. W. Sutton
JOURNAL OF PROTEOME RESEARCH
(2012)
Meeting Abstract
Dermatology
K. Poterlowicz, A. N. Mardaryev, M. Y. Fessing, T. Y. Sharova, A. A. Sharov, Y. Peng, V. A. Botchkarev
JOURNAL OF INVESTIGATIVE DERMATOLOGY
(2012)
Article
Metallurgy & Metallurgical Engineering
J. X. Xue, L. L. Zhang, Y. H. Peng, L. Jia
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Automation & Control Systems
Yonghong Peng
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2006)
Article
Biology
Yonghong Peng
COMPUTERS IN BIOLOGY AND MEDICINE
(2006)
Article
Computer Science, Artificial Intelligence
Yonghong Peng, Bin Yao, Jianrnin Jiang
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2006)
Article
Engineering, Manufacturing
YH Peng
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
(2006)
Article
Computer Science, Artificial Intelligence
YH Peng
JOURNAL OF INTELLIGENT MANUFACTURING
(2004)
Article
Computer Science, Artificial Intelligence
FA Thabtah, P Cowling, YH Peng
KNOWLEDGE AND INFORMATION SYSTEMS
(2006)
Article
Automation & Control Systems
YH Peng
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2004)