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Identifying Candidate Biomarkers for Alzheimer’s Disease Diagnoses Using Saliva \(^1\) H NMR-Based Metabolomics
A pilot study was conducted by previous publications on Identifying Candidate Biomarkers for Alzheimer’s Disease Diagnoses using Saliva. This...
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Variability Analysis and Machine Learning of Non-CSF Body Fluids SELDI-TOF-MS Data for Alzheimer’s Disease Diagnoses
There are multiple and complex topics about Alzheimer’s disease (AD). Many of which have been investigated through studies on Cerebrospinal fluid...
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Proposed Intelligent Decision Support System Using Hedge Algebra Integrated with Picture Fuzzy Relations for Improvement of Decision-Making in Medical Diagnoses
Traditional fuzzy set theory has recently demonstrated its inefficiency in handling linguistic terms directly, including the degree of neutrality in...
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Methodology for Building a Medical Expert System for Disease Diagnosis
This paper proposes an algorithm for constructing expert systems (ES) in comparison with a physician's decision to determine epilepsy in children....
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Diagnoses of Melanoma Lesion Using YOLOv3
The most modifiable risk factor for skin cancer is ultraviolet radiation (UVR) exposure. Melanoma or malignant melanoma is the rarest but at the same...
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Alzheimer’s Disease Knowledge Graph Based on Ontology and Neo4j Graph Database
Recently, a massive amount of data has been available for research on Alzheimer’s disease. However, the data entities are stored with different names...
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Automated Diagnoses Glaucoma Approach in Retinal Fundus Images Using Support Vector Machine
Glaucoma is chronic disease steals sight slowly so causing blindness gradually. Although, it cannot be cured at all but only the early treatment can...
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An Ensemble Model to Detect Parkinson’s Disease Using MRI Images
Parkinson’s disease (PD) is a highly common progressive central nervous system disorder caused by the decrease in neurons that produce dopamine in...
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Cardiovascular Disease Prediction Using Deep Learning Models
One of the most prevalent and significant diseases affecting people's health is cardiovascular disease (CVD). In early diagnosis, cardiovascular may...
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COVID-19 (COV-19) Spreading Diagnoses by Feature Representation Method Through Visual Learning (FVisL-CoV19)
The use of computer vision and AI methods in medical image assessment has shown impressive success in the analysis and monitoring of respiratory...
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Rule extraction from convolutional neural networks for heart disease prediction
The accurate prediction of heart disease is crucial in the field of medicine. While convolutional neural networks have shown remarkable precision in...
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Prediction of Liver Disease Using Machine Learning Algorithms
Most important internal organ of human body is liver, and its primary functions are to break down food, to maintain energy minerals and vitamins and...
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Alzheimer’s Disease Detection Using Ensemble of Classifiers
Alzheimer’s disease is a major intellectual deficit that makes it impossible for a person to carry out daily tasks. Finding the people with...
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New Insights into Clinical Management for Sickle Cell Disease: Uncovering the Significant Pathways Affected by the Involvement of Sickle Cell Disease
One of the severe monogenic conditions with the highest prevalence in the globe is sickle cell disease. Although the significance of chronic anemia,...
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Implementation of Machine Learning Algorithms for Cardiovascular Disease Prediction
Cardiovascular diseases are the leading cause of death every year in the world. By utilizing machine learning algorithms, patterns and relationships...
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Analysis of Heart Disease Prediction Using Various Machine Learning Algorithms
Every year due to heart diseases around 12 million deaths have been confirmed by the World Health Organization. Cardiovascular disease is responsible...
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Explainable Artificial Intelligence and Deep Transfer Learning for Skin Disease Diagnosis
Accurate diagnosis of skin diseases, including skin cancers, is challenging and often leads to misdiagnosis and incorrect treatments. Whereas...
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Faecal Image-Based Chicken Disease Classification Using Deep Learning Techniques
Various diagnostic methods are used in chickens, including counting oocytes in the stool or intestinal tract, detecting the virus and using...
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Heart Disease Detection Using Deep Learning: A Survey
Heart disease is the leading cause of death worldwide and one of the key problems confronting today's globe. A recent study by the World Health...
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Nail Disease Detection Using AI-Based Algorithm
In this paper, we have proposed an idea to predict nail disease using AI-based algorithm. In this proposed system, the Inception V3 model is used...