Health Information Science and Systems

Papers
(The TQCC of Health Information Science and Systems is 10. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
K-cql: an arterial blood gas analysis-based deep offline reinforcement learning algorithm for mechanical ventilation treatment91
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction71
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder68
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data59
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery49
ProsthetiX-AI: An LLM-based clinical decision support system for evidence-based prosthetic recommendations48
DALI-Syn: integrating chemical LLMs with multi-level attention architectures for synergistic drug combination prediction43
Efficient management of pulmonary embolism diagnosis using a two-step interconnected machine learning model based on electronic health records data42
Development and application of an intelligent management and home care system for geriatric diseases under the ‘Internet Plus’ model: big data-based risk prediction and personalized intervention40
MSER: an emotion recognition method based on multi-signal information fusion40
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer40
Exploring relationship between emotion and probiotics with knowledge graphs38
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging38
Knowledge-enhanced medical image classification via descriptive priors from large language models36
Hybridization of fuzzy logic based relevance vector and multi kernel image enhancement for Alzheimer′s disease diagnosis36
Detecting stress from videos via intra-subject and inter-subject learning31
An enhanced heart disease prediction model based on linear Diophantine fuzzy-integrated supervised machine learning31
A 3D decoupling Alzheimer’s disease prediction network based on structural MRI31
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 diseases29
Structured reflective reasoning for precise medical knowledge graph retrieval augmented generation29
Image-based second opinion for blood typing28
Deep continual multitask out-of-hospital incident severity assessment from changing clinical features26
Computational and statistical insights for leveraging biomarker-driven machine learning models in predicting COVID-19 patient outcomes25
MedGAITS: a graph autoencoder network for modeling irregular time series data in electronic medical records24
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset24
Convolutional neural network framework for EEG-based ADHD diagnosis in children22
Detecting autism in children through drawing characteristics using the visual-motor integration test22
Embedding-based link predictions to explore latent comorbidity of chronic diseases22
AutoBiGluNet: transformer-based time series modeling for blood glucose prediction in Type 1 diabetes patients21
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset21
Timelygpt: extrapolatable transformer pre-training for long-term time-series forecasting in healthcare20
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals20
Machine-learning-based prediction of cardiovascular events for hyperlipidemia population with lipid variability and remnant cholesterol as biomarkers20
Multi-omics prognostic signatures of IPO11 mRNA expression and clinical outcomes in colorectal cancer using bioinformatics approaches19
Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration19
HTC-Net: Hashimoto’s thyroiditis ultrasound image classification model based on residual network reinforced by channel attention mechanism18
A multimodal approach for cardiac signals classification using deep learning with explainable AI methods18
PKFAR: psychiatry knowledge-fused augmented reasoning with large language models18
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network18
A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules17
Self-supervised fusion of clinical expertise and interpersonal skills for enhanced physician recommendation17
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network17
An explainable hybrid deep-learning and machine learning framework for automatic coeliac disease detection from duodenal endoscopy images17
Automated lead toxicity prediction using computational modelling framework16
Multi-dimensional perceptual quality assessment for magnetic resonance images16
Adaptive filter of frequency bands based coordinate attention network for EEG-based motor imagery classification16
A data fusion deep learning approach for accurate organelle-based classification of cancer cells16
An EEG-based patient-independent epileptic seizure detection method based on domain generative adversarial network15
Meta semi-supervised medical image segmentation with label hierarchy15
Identification and applications of disease-associated differential human and bacterial proteins with metaproteomic evidence14
Reasoning with large language models in medicine: a systematic review of techniques, challenges and clinical integration14
Enhancing medical image report generation using a self-boosting multimodal alignment framework14
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine14
Hierarchical agent reflection for aligning LLM reasoning with clinical diagnostic processes13
A new mixed reality tool for training in minimally invasive robotic-assisted surgery13
Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification13
A framework for in-vivo human brain tumor detection using image augmentation and hybrid features13
Predicting lung cancer survival with attention-based CT slices combination13
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning13
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services12
Multi-dimensional alignment framework with geometric intraoral constraints for precise occlusal registration12
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection12
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data12
Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder11
A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery11
Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence11
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation11
Alterations of DNA methylation profile in peripheral blood of children with simple obesity11
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation11
EAPR: explainable and augmented patient representation learning for disease prediction10
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review10
Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization10
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing10
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