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Snomed® CT : The Fit with Classification in Health
Health Information Management, 2003Classification systems are the primary means for automated retrieval and analysis of healthcare data from individual patient medical records. This article will provide a brief history and overview of the two most comprehensive and advanced controlled clinical terminologies in the world: the Systematized Nomenclature of Medicine Reference Terminology ...
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Fitness Functions in Genetic Programming for Classification with Unbalanced Data
2007This paper describes a genetic programming (GP) approach to binary classification with class imbalance problems. This approach is examined on two benchmark and two synthetic data sets. The results show that when using the overall classification accuracy as the fitness function, the GP system is strongly biased toward the majority class. Two new fitness
Grant Patterson, Mengjie Zhang 0001
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Research on the Integrated Method of Classification and Counting of Fitness Activities
2022 the 5th International Conference on Image and Graphics Processing (ICIGP), 2022Yunwen Liu, Chongwen Wang
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Classification of Permutation Distance Metrics for Fitness Landscape Analysis
2019Commonly used computational and analytical tools for fitness landscape analysis of optimization problems require identifying a distance metric that characterizes the similarity of different solutions to the problem. For example, fitness distance correlation is Pearson correlation between solution fitness and distance to the nearest optimal solution. In
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A novel fitness function in genetic programming for medical data classification
Journal of Biomedical Informatics, 2020Arpit Bhardwaj, Arvind Kumar
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A “Fit for Purpose” Approach to CKD Classification?
American Journal of Kidney DiseasesJin Ho, Hwang, Chi-Yuan, Hsu
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Unbalanced breast cancer data classification using novel fitness functions in genetic programming
Expert Systems With Applications, 2020Arpit Bhardwaj, Aditi Sakalle
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