A Novel Hybrid PSBCO Algorithm for Feature Selection

Sandhiya, S.; Palani, U.

doi:10.14445/22492593/ijcot-v10i3p305

Cited by 1 publication

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“…Their model outperforms than the existing algorithms specifically large-scale feature selection issues. Sandhiya S and Palani U [12] proposed a hybrid algorithm which combines the Binary cuckoo search algorithm (BCS) and Particle Swarm optimization (PSO) algorithm called Particle Swarm Binary Cuckoo optimization Algorithm (PSBCO). Which comprises of two steps, in first step subset generation is performed by using BCS optimization algorithm it will generate n number of subsets from the original large dataset.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Disease Prediction System with Electronic Health Record Using Feature Selection and Convolutional Recurrent Neural Network

Sandhiya

2023

Preprint

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Rapid advancements in communication technologies and expert systems generate massive amounts of medical data. Using an electronic health record (EHR) and a disease prediction system, we can predict high-risk patients at an early stage. The use of EHR for early prediction aids in the improvement of health care quality through personalized medicine. To analyze the massive amount of disease-related EHR data, various deep learning methods for disease prediction are proposed. Deep learning is a machine learning technique that has evolved. Even with more deep learning techniques in place, no healthcare system has achieved a higher level of disease prediction accuracy. In this paper, we propose a disease prediction system for serious, lethal diseases such as heart, diabetes, and cancer diseases. The proposed system is made up of a feature selection algorithm (GBCOA) and a Convolutional-Recurrent Neural Network (C-RNN). This proposed model was tested against existing methods and found to have higher prediction accuracy with less computation time.

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Section: Related Workmentioning

confidence: 99%

An Efficient Disease Prediction System with Electronic Health Record Using Feature Selection and Convolutional Recurrent Neural Network

Sandhiya

2023

Preprint

View full text Add to dashboard Cite

show abstract

A Novel Hybrid PSBCO Algorithm for Feature Selection

Cited by 1 publication

References 0 publications

An Efficient Disease Prediction System with Electronic Health Record Using Feature Selection and Convolutional Recurrent Neural Network

An Efficient Disease Prediction System with Electronic Health Record Using Feature Selection and Convolutional Recurrent Neural Network

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