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Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model
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Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder
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A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data
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Comprehensive applications of the artificial intelligence technology in new drug research and development
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Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization
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Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence
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Convolutional neural network framework for EEG-based ADHD diagnosis in children
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Tree hole rescue: an AI approach for suicide risk detection and online suicide intervention
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A lightweight network based on multi-feature pseudo-color mapping for arrhythmia recognition
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Explainable depression symptom detection in social media
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Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network
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Explainable federated learning scheme for secure healthcare data sharing
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Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer’s disease on routinely acquired T1-weighted imaging-based brain network
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Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data
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Identification of cancer driver genes based on hierarchical weak consensus model
Cancer is a complex gene mutation disease that derives from the accumulation of mutations during somatic cell evolution. W...
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Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
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Optimised deep k-nearest neighbour’s based diabetic retinopathy diagnosis(ODeep-NN) using retinal images
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Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN
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Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging
In the field of biomedical science, blood cell detection in microscopic images is crucial for aiding physicians in diagnos...
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Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals
Alzheimer’s disease is an incurable neurological disorder that damages cognitive abilities, but early identification...
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Alterations of DNA methylation profile in peripheral blood of children with simple obesity
To investigate the association between DNA methylation and childhood simple obesity. Genome-wide analysis of DNA methylati...
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A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules
According to the World Health Organization (WHO) data from 2000 to 2019, the number of people living with Diabetes Mellitu...
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Image-based second opinion for blood typing
This paper considers a new method for providing a recommendation (second opinion) for a laboratory assistant in manual blo...
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Characterization of biliary and duodenal microbiota in patients with primary and recurrent choledocholithiasis
To explore the biliary and duodenal microbiota features associated with the formation and recurrence of choledocholithiasi...
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A review of machine learning-based methods for predicting drug–target interactions
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Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning
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Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset
Gastrointestinal (GI) disorders, encompassing conditions like cancer and Crohn’s disease, pose a significant threat ...
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A hybrid approach based on multipath Swin transformer and ConvMixer for white blood cells classification
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Development of a recommendation system and data analysis in personalized medicine: an approach towards healthy vascular ageing
Understanding early vascular ageing has become crucial for preventing adverse cardiovascular events. To this respect, rece...
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