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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.... -
Comparative Study of Various Machine Learning Techniques for Parkinson Disease Detection Based on Handwriting
The most prevalent neurodegenerative condition that substantially impairs elderly people's motor capabilities is Parkinson's disease (PD). Even... -
Diagnosis of Sjögren’s disease
The diagnosis of Sjögren’s Disease (SjD) can be challenging due to the broad disease spectrum and often subtle presenting manifestations. As a...
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Plant Foliage Disease Diagnosis Using Light-Weight Efficient Sequential CNN Model
AbstractThe Precise and prompt identification of plant pathogens is essential to keep agricultural losses as low as possible. In recent time, deep...
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Diagnosis of Mycobacterium
This book covers all the aspects related to the laboratory diagnosis of Mycobacterium.Laboratory diagnosis includes microscopic to advance molecular...
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Deep joint learning of pathological region localization and Alzheimer’s disease diagnosis
The identification of Alzheimer’s disease (AD) using structural magnetic resonance imaging (sMRI) has been studied based on the subtle morphological...
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Deep Learning Techniques for Computer Aided Diagnosis of Various Cancers
Deep learning has emerged as a key machine learning technology in object detection, attracting attention for its results in medical imaging analysis.... -
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... -
Assessing the impact of various tuberculin PPD brands on bovine tuberculosis diagnosis
Although several brands of tuberculin purified protein derivatives (PPDs) are available for diagnosing bovine tuberculosis (bTB), comparative studies...
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Analysis of Augmentations in Contrastive Learning for Parkinson’s Disease Diagnosis
Parkinson’s disease (PD) is a neurodegenerative disease that causes a movement disorder. Early diagnosis of PD is critical for patients to receive... -
Artificial intelligence in diagnosis and management of Huntington’s disease
BackgroundHuntington’s disease is one of the rare neurodegenerative diseases caused because of genetic mutation of the Huntingtin gene. The major...
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Alzheimer’s Disease Diagnosis Using MRI Images
As one gets older, the likelihood of this happening increases. Minor cognitive impairment may serve as an early warning sign of dementia, according... -
Measles Rash Disease Classification Based on Various CNN Classifiers
One of the most thoroughly researched and well-documented non-linear infectious disease dynamical systems is measles. Infants and young children are... -
A novel diversity-based ensemble approach with genetic algorithm for effective disease diagnosis
Effective disease diagnosis is a significant unmet need on a global scale. The development of a model for early diagnosis and efficient treatment...
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An Enhanced Residual Networks Based Framework for Early Alzheimer’s Disease Classification and Diagnosis
Alzheimer's disease (AD) is a long-lasting, degenerative brain illness for which there is now no successful treatment. However, there are medications... -
Diagnosis of Crohn’s disease and ulcerative colitis using the microbiome
BackgroundInflammatory bowel disease (IBD) is a multifactorial chronic inflammatory disease resulting from dysregulation of the mucosal immune...
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Diagnosis system for cancer disease using a single setting approach
This paper addresses the diagnosis system of cancer disease using a single setting framework. Most of the radiologists and image specialists are...
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Automated thorax disease diagnosis using multi-branch residual attention network
Chest X-ray (CXR) is an extensively utilized radiological modality for supporting the diagnosis of chest diseases. However, existing research...
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Evaluation of artificial intelligence techniques in disease diagnosis and prediction
A broad range of medical diagnoses is based on analyzing disease images obtained through high-tech digital devices. The application of artificial...
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Radiation-Induced Pericardial Disease: Mechanisms, Diagnosis, and Treatment
Purpose of ReviewWe aim to give a concise overview of the different clinical manifestations of both acute and long-term radiotherapy-related...