Editorial for the Special Issue on “Machine Learning in Healthcare and Biomedical Application”

Sarica, Alessia

doi:10.3390/a15030097

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…The right and left hemispheres could communicate with one another thanks to this CC [13]. The Healthy Control (HC) is a crucial part of the brain that lies beneath the medial temporal lobes; it is entirely in charge of forming new memories, retrieving existing memories is known as the "gateway of memories" [14][15]. The information must be sent to and stored in long-term memory via HC [16].…”

Section: Introductionmentioning

confidence: 99%

Development of Improved Weighed Quantum Lion Optimization with Smooth Support Vector Machine for Alzheimer’s Disease

Raveendra Reddy Enumula

2024

jes

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Accurate diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) was identified on an early stage is essential in the healthcare industry to stop degeneration. The Smooth Support Vector Machine (SSVM) model, Principal Component Analysis (PCA), feature extraction, and Magnetic Resonance Imaging (MRI) image prepossessing are the components for the diagnosis of AD is proposed in this research at early stage. To assist in the classifier's training, we proposed a novel Improved Weighed Quantum Lion Optimization (IWQLO). The SSVM parameters are specifically proposed to be optimized using a new Switching delayed Lion Optimization (SLO) algorithm. The IWQLO-SSVM approach was effectively used to classify AD and MCI utilizing MRI scans of the Alzheimer's disease Neuroimaging Initiative (ADNI) database and Outcome and Assessment Information Set (OASIS) database. For six example scenarios, the classification accuracy of our proposed method is acceptable. Testing show that the proposed approach improves the performance measures such as accuracy, precision, specificity, sensitivity and recall for detecting the early stage AD diagnosis.

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Section: Introductionmentioning

confidence: 99%

Development of Improved Weighed Quantum Lion Optimization with Smooth Support Vector Machine for Alzheimer’s Disease

Raveendra Reddy Enumula

2024

jes

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Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson’s Disease

Sarica

Quattrone

2022

Lecture Notes in Computer Science

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Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: A Comparison of Tree-Based Machine Learning Algorithms for Survival Analysis

Sarica,

Aracri,

Bianco

et al. 2023

Brain Informatics

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Editorial for the Special Issue on “Machine Learning in Healthcare and Biomedical Application”

Abstract: In the last decade, Machine Learning (ML) has indisputably had a pervasive application in healthcare and biomedical applications [...]

Cited by 6 publications

References 8 publications

Development of Improved Weighed Quantum Lion Optimization with Smooth Support Vector Machine for Alzheimer’s Disease

Development of Improved Weighed Quantum Lion Optimization with Smooth Support Vector Machine for Alzheimer’s Disease

Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson’s Disease

Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: A Comparison of Tree-Based Machine Learning Algorithms for Survival Analysis

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