Point of Care Molecular Diagnostics in Cancer

Published: Jan. 1, 2024

Language: Английский

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Particle Swarm Optimization-Based Random Forest Framework for the Classification of Chronic Diseases

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 133931 - 133946

Published: Jan. 1, 2023

In this paper, a hybrid metaheuristic-based Machine learning approach has been propounded for the classification of various Chronic Diseases (CDs). The CDs often get misdiagnosed due to issues viz., similar and overlapping symptoms, sensitive devices, lack clinical experts, etc. Based on above issues, study utilized fusion Particle Swarm Optimization with Random Forest (PSORF) automatic identification CDs. PSORF comprises two main components: PSO obtaining minimal optimal feature set, also optimize performance RF classifier, classifier multiple research, five different CD datasets have deployed onto series experiments conducted identify best To address imbalanced incomplete data in used, Synthetic Minority Oversampling Technique (SMOTE) Expected Minimization (EM) Imputation techniques applied before training model. This ensures quality is improved being used analysis. Furthermore, classifiers compared other metaheuristic ML terms metrics. For purpose, Friedman's tests employed calculate mean ranks all across results showed that proposed technique achieved highest rank Accuracy, F-measure, Receiver Operating Characteristics (ROC) four datasets.

Language: Английский

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An efficient deep learning model based lung cancer detection and risk identification using cox proportional hazard analysis

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(8), P. 24485 - 24504

Published: Aug. 18, 2023

Language: Английский

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Enhancing Healthcare Monitoring Systems: A Case Analysis in Optimization

2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), Journal Year: 2024, Volume and Issue: unknown, P. 1261 - 1264

Published: Feb. 28, 2024

In the past few years, fog computing (FC) has emerged as a promising complement to cloud computing. It offers reduced latency, minimal bandwidth consumption, and real-time data transfer. healthcare, particularly in IoT-enabled systems, FC integration become pivotal for monitoring immediate transfer health experts. The researchers all around world proposed developed various communication frameworks come up with certain outputs terms of quality-of-service parameters (QoS). However, these QoS are not always appropriate effective execution application. Following that, this study explores multi-objective Optimization Algorithms (such FFLY GWO) optimize crucial quality service (QoS) metrics using linear function multi objectives, essential sustained communication. research focuses on optimizing objectives healthcare systems. Experimental results reveal superiority Grey Wolf Optimizer (GWO) over Firefly Algorithm (FFLY). This emphasizes significance optimisation algorithms critical successful frameworks, which can lead improvements efficiency.

Language: Английский

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A Secure Healthcare Monitoring System for Disease Diagnosis in the IoT Environment

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: April 30, 2024

Language: Английский

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