Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques

Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques

<p dir="ltr">Nowadays, healthcare is the prime need of every human being in the world, and clinical datasets play an important role in developing an intelligent healthcare system for monitoring the health of people. Mostly, the real-world datasets are inherently class imbalanced, cli...

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Bibliographic Details
Main Author: Vinod Kumar (48743) (author)
Other Authors: Gotam Singh Lalotra (17542062) (author), Ponnusamy Sasikala (17542065) (author), Dharmendra Singh Rajput (17542068) (author), Rajesh Kaluri (17541486) (author), Kuruva Lakshmanna (17542071) (author), Mohammad Shorfuzzaman (17542050) (author), Abdulmajeed Alsufyani (276154) (author), Mueen Uddin (4903510) (author)
Published: 2022
Subjects:
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Data management and data science
Machine learning
classification
balancing techniques
clinical dataset
machine learning
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