A hybrid approach using rough set theory and hypergraph for feature selection on high-dimensional medical datasets
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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
Multistage transfer learning technique for classifying rare medical datasets
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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
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
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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
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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