Health Information Science and Systems

Papers
(The TQCC of Health Information Science and Systems is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery78
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network54
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data47
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder46
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction37
Exploring relationship between emotion and probiotics with knowledge graphs36
Microstate feature fusion for distinguishing AD from MCI36
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer28
A novel clustered-based binary grey wolf optimizer to solve the feature selection problem for uncovering the genetic links between non-Hodgkin lymphomas and rheumatologic diseases26
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging26
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data26
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI25
Image-based second opinion for blood typing24
Embedding-based link predictions to explore latent comorbidity of chronic diseases24
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset23
Detecting autism in children through drawing characteristics using the visual-motor integration test21
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset20
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration19
Convolutional neural network framework for EEG-based ADHD diagnosis in children19
Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers18
HTC-Net: Hashimoto’s thyroiditis ultrasound image classification model based on residual network reinforced by channel attention mechanism17
Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches17
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals17
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network16
COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network16
A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules16
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification15
Automated lead toxicity prediction using computational modelling framework14
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine13
Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images13
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning13
Meta semi-supervised medical image segmentation with label hierarchy13
Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification13
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network13
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services12
A new mixed reality tool for training in minimally invasive robotic-assisted surgery12
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data12
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery11
Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder11
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection11
Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence11
A framework for in-vivo human brain tumor detection using image augmentation and hybrid features11
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing10
Alterations of DNA methylation profile in peripheral blood of children with simple obesity9
EAPR: explainable and augmented patient representation learning for disease prediction9
Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization9
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation9
A transfer learning enabled approach for ocular disease detection and classification9
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration9
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review9
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation9
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning9
Gut microbiome biomarkers in adolescent obesity: a regional study9
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