A hybrid approach using rough set theory and hypergraph for feature selection on high-dimensional medical datasets
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-019-03818-6
Abstract: Abstract‘Curse of Dimensionality’—massive generation of high-dimensional medical datasets from various biomedical applications hardens the data analytic process for precise medical diagnosis. The design of an efficient feature selection technique for finding the optimal feature subset… read more here.
Keywords: dimensional medical; high dimensional; feature selection; feature ... See more keywords
Distance-based mutual congestion feature selection with genetic algorithm for high-dimensional medical datasets
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DOI: 10.1007/s00521-024-10837-4
Abstract: Feature selection poses a challenge in high-dimensional datasets, where the number of features exceeds the number of observations, as seen in microarray, gene expression, and medical datasets. There is not a universally optimal feature selection… read more here.
Keywords: medical datasets; high dimensional; feature; feature selection ... See more keywords
Multistage transfer learning technique for classifying rare medical datasets
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-02989-1
Abstract: It is said that about 8% of the people across the world are impacted by different kinds of rare diseases. Identifying such rare diseases accurately is a challenging task, as they exhibit common symptoms that… read more here.
Keywords: domain dataset; transfer learning; medical datasets; domain ... See more keywords
Improving the performance and interpretability on medical datasets using graphical ensemble feature selection
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DOI: 10.1093/bioinformatics/btae341
Abstract: Abstract Motivation A major hindrance towards using Machine Learning (ML) on medical datasets is the discrepancy between a large number of variables and small sample sizes. While multiple feature selection techniques have been proposed to… read more here.
Keywords: medical datasets; performance; ensemble feature; selection ... See more keywords
Enhancing Decision-Making for Imbalanced Medical Datasets Using BDDs and Low-Code/No-Code
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DOI: 10.1109/mitp.2024.3459248
Abstract: Imbalanced datasets pose a challenge wherever accurate predictions are essential. This paper explores using low-code/no-code platforms, such as Pyrus and ADD-Lib, to apply data resampling techniques and binary decision diagrams for more accessible and reliable… read more here.
Keywords: medical datasets; decision making; code; code code ... See more keywords
Deep Possibilistic C-means Clustering Algorithm on Medical Datasets
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DOI: 10.1155/2022/3469979
Abstract: In the past, the possibilistic C-means clustering algorithm (PCM) has proven its superiority on various medical datasets by overcoming the unstable clustering effect caused by both the hard division of traditional hard clustering models and… read more here.
Keywords: medical datasets; clustering algorithm; deep possibilistic; means clustering ... See more keywords
On Suitability of Mixture of Generalized Exponential Models in Modeling Right-Censored Medical Datasets Using Conditional Expectations
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/7363646
Abstract: The exploration of suitable models for modeling censored medical datasets is of great importance. There are numerous studies dealing with modeling the censored medical datasets. However, majority of the earlier contributions have utilized the conventional… read more here.
Keywords: right censored; medical datasets; mixture; models modeling ... See more keywords
Boosting with crossover for improving imbalanced medical datasets classification
Sign Up to like & getrecommendations! Published in 2021 at "Bulletin of Electrical Engineering and Informatics"
DOI: 10.11591/eei.v10i5.3121
Abstract: Due to the common use of electronic health databases in many healthcare services, healthcare data are available for researchers in the classification field to make diseases’ diagnosis more efficient. However, healthcare-medical data classification is most… read more here.
Keywords: boosting crossover; medical datasets; classification; improving imbalanced ... See more keywords