yusuke1997/dblp-id-title huggingface dataset:
A two-stage segmentation of sublingual veins based on compact fully convolutional networks for Traditional Chinese Medicine images
Bio-inspired dimensionality reduction for Parkinson's disease (PD) classification
Analyzing the changes of health condition and social capital of elderly people using wearable devices
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer's disorder detection using EEG signals
Improving accessibility of the Australian My Health Records while preserving privacy and security of the system
A novel glomerular basement membrane segmentation using neutrsophic set and shearlet transform on microscopic images
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation
Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic
Improving laryngeal cancer detection using chaotic metaheuristics integration with squeeze-and-excitation resnet model
Exploring relationship between emotion and probiotics with knowledge graphs
Enhancing cancer subtype classification through convolutional neural networks: a deepinsight analysis of TCGA gene expression data
Vaner2: towards more general biomedical named entity recognition using multi-task large language model encoders
Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation
A genetic algorithm enabled ensemble for unsupervised medical term extraction from clinical letters
Computer assisted system for precise lung surgery based on medical image computing and mixed reality
Correction to: A method of VR‑EEG scene cognitive rehabilitation training
Evolution of blood pressure control identification in lieu of post-surgery diabetic patients: a review
Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization
Leveraging patients' longitudinal data to improve the Hospital One-year Mortality Risk
MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis
Mining comorbidity patterns using retrospective analysis of big collection of outpatient records
Cerebral ischemia detection using deep learning techniques
Ethiopic maternal care data mining: discovering the factors that affect postnatal care visit in Ethiopia
Improving patient engagement in self-measured blood pressure monitoring using a mobile health technology
Towards data-driven tele-medicine intelligence: community-based mental healthcare paradigm shift for smart aging amid COVID-19 pandemic
Epidemiological investigation of a COVID-19 family cluster outbreak transmitted by a 3-month-old infant
Prediction of intrapartum fetal hypoxia considering feature selection algorithms and machine learning models
LesionScanNet: dual-path convolutional neural network for acute appendicitis diagnosis
Source-specific contributions of particulate matter to asthma-related pediatric emergency department utilization
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network
Magnetic resonance image enhancement and segmentation using conventional and deep learning denoising techniques for dynamic cerebral angiography
Deep continual multitask out-of-hospital incident severity assessment from changing clinical features
LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images
RSMOTE: improving classification performance over imbalanced medical datasets
Leveraging deep learning for epigenetic protein prediction: a novel approach for early lung cancer diagnosis and drug discovery
Wrist pulse signal based vascular age calculation using mixed Gaussian model and support vector regression
A new mixed reality tool for training in minimally invasive robotic-assisted surgery
Federated machine learning for predicting acute kidney injury in critically ill patients: a multicenter study in Taiwan
Dental caries diagnosis in digital radiographs using back-propagation neural network
Autism screening: an unsupervised machine learning approach
Who determines United States Healthcare out-of-pocket costs? Factor ranking and selection using ensemble learning
Identification of phosphorylation site using S-padding strategy based convolutional neural network
An error-bounded median filter for correcting ECG baseline wander
Explainable federated learning scheme for secure healthcare data sharing
Supporting breast cancer decisions using formalized guidelines and experts decision patterns: initial prototype and evaluation
Enabling flexible integration of healthcare information using the entity-attribute-value storage model
Autonomous detection of myocarditis based on the fusion of improved quantum genetic algorithm and adaptive differential evolution optimization back propagation neural network
Automatic breast lesion segmentation in phase preserved DCE-MRIs
Building Diversified Multiple Trees for classification in high dimensional noisy biomedical data
GEP-DNN4Mol: automatic chemical molecular design based on deep neural networks and gene expression programming
Constructing a knowledge-based heterogeneous information graph for medical health status classification
COVID-19 infection map generation and detection from chest X-ray images
Generalized metabolic flux analysis framework provides mechanism-based predictions of ophthalmic complications in type 2 diabetes patients
Nutrient analysis of school lunches and anthropometric measures in a private and public school in Chennai, India
Students university healthy lifestyle practice: quantitative analysis
Design and technical validation to generate a synthetic 12-lead electrocardiogram dataset to promote artificial intelligence research
Neural networks for mining the associations between diseases and symptoms in clinical notes
Forecasting fMRI images from video sequences: linear model analysis
HTC-Net: Hashimoto's thyroiditis ultrasound image classification model based on residual network reinforced by channel attention mechanism
Identification and applications of disease-associated differential human and bacterial proteins with metaproteomic evidence
A hybrid deep learning approach for accurate diagnosis of tibiofibula open and closed fractures using x-ray images
Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series
The correlation of everyday cognition test scores and the progression of Alzheimer's disease: a data analytics study
From molecular mechanisms of prostate cancer to translational applications: based on multi-omics fusion analysis and intelligent medicine
Multiple feature selection based on an optimization strategy for causal analysis of health data
Coronary artery segmentation framework based on three types of U-Net and voting ensembles
DEELE-Rad: exploiting deep radiomics features in deep learning models using COVID-19 chest X-ray images
Fast prototyping of a local fuzzy search system for decision support and retraining of hospital staff during pandemic
Design and validation of a responsible artificial intelligence-based system for the referral of diabetic retinopathy patients
Statistical sleep pattern modelling for sleep quality assessment based on sound events
Machine learning approach to flare-up detection and clustering in chronic obstructive pulmonary disease (COPD) patients
Design and implementation of Metta, a metasearch engine for biomedical literature retrieval intended for systematic reviewers
Improving information retrieval with multiple health terminologies in a quality-controlled gateway
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies
Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment
iAMP-CRA: Identifying Antimicrobial Peptides Using Convolutional Recurrent Neural Network with Self-Attention
Ensemble of subspace discriminant classifiers for schistosomal liver fibrosis staging in mice microscopic images
Essential proteins discovery based on dominance relationship and neighborhood similarity centrality
Segmentation and severity classification of scar tissues in LGE-CMR images using HDResC-Net with Flamingo gannet search optimization
A patient-centric distribution architecture for medical image sharing
Crosstalk disrupts the production of motor imagery brain signals in brain-computer interfaces
Reconstructing brain causal dynamics for subject and task fingerprints using fMRI time-series data
A study of factors related to patients' length of stay using data mining techniques in a general hospital in southern Iran
How can social media analytics assist authorities in pandemic-related policy decisions? Insights from Australian states and territories
UnoViS: the MedIT public unobtrusive vital signs database
Linguistic summarization of visual attention and developmental functioning of young children with autism spectrum disorder
Self-supervised neural network-based endoscopic monocular 3D reconstruction method
Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM
Comprehensive applications of the artificial intelligence technology in new drug research and development
Erratum to: Usability study of a simplified electroencephalograph as a health-care system
Imputation techniques on missing values in breast cancer treatment and fertility data
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?
Cognitive modelling of Chinese herbal medicine's effect on breast cancer
Wavelet based deep learning approach for epilepsy detection
Guest Editorial: Special issue on "Application of artificial intelligence in health research"
The role of mitochondria-related proteins in inflammation and autoimmune diseases: a causal analysis using Mendelian randomization and colocalization
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data
Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer's disease on routinely acquired T1-weighted imaging-based brain network
Image-based second opinion for blood typing
A dynamical model for the number of infertile couples
Thyroidkeeper: a healthcare management system for patients with thyroid diseases
Medimatrix: innovative pre-training of grayscale images for rheumatoid arthritis diagnosis revolutionises medical image classification
LASF: a local adaptive segmentation framework for coronary angiogram segments
A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction
Translational health technology and system schemes: enhancing the dynamics of health informatics
Automated emergency paramedical response system
Correction: Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification
CTGFusionNet: fusion of deep learning models for predicting fetal distress - a multimodal approach
Combining temporal and spatial attention for seizure prediction
Clustering environmental pollutants associated with increased risk of metabolic disease: a hierarchical analysis
Design and development of a disease-specific clinical database system to increase the availability of hospital data in China
Embedding-based link predictions to explore latent comorbidity of chronic diseases
Words prediction based on N-gram model for free-text entry in electronic health records
A transfer learning enabled approach for ocular disease detection and classification
Usability study of a simplified electroencephalograph as a health-care system
Semi-supervised abdominal multi-organ segmentation via dual-task de-biased consistency
An interpretable approach for schizophrenia classification using fMRI and sMRI features
CnnBoost: a multilevel explainable stacked ensemble framework for effective detection of Myocardial Infarction from 12-lead ECG images using a transformational approach
Differential diagnosis between dilated cardiomyopathy and ischemic cardiomyopathy based on variational mode decomposition and high order spectra analysis
A home-based health information acquisition system
ADHD-KG: a knowledge graph of attention deficit hyperactivity disorder
An optimized Mamdani FPD controller design of cardiac pacemaker
Detecting autism in children through drawing characteristics using the visual-motor integration test
Detection of the quality of vital signals by the Monte Carlo Markov Chain (MCMC) method and noise deleting
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults
Gut microbiome biomarkers in adolescent obesity: a regional study
On the application of multi-class classification in physical therapy recommendation
Traits and types of health data repositories
Multi-teacher based knowledge distillation for retinal vessel segmentation
Optical coherence tomography image based eye disease detection using deep convolutional neural network
A new segment method for pulmonary artery and vein
Features based on variational mode decomposition for identification of neuromuscular disorder using EMG signals
The contrastive learning method in tongue image representation learning and its significance in intelligent diagnosis
Multi-dimensional perceptual quality assessment for magnetic resonance images
Big data analytics in healthcare: promise and potential
Structured reflective reasoning for precise medical knowledge graph retrieval augmented generation
Integrating clinical anxiety scales with pre-trained language models for anxiety recognition on social media
SpecMEn-DL: spectral mask enhancement with deep learning models to predict COVID-19 from lung ultrasound videos
Computer-aided diagnosis of hepatocellular carcinoma fusing imaging and structured health data
Naïve Bayesian network-based contribution analysis of tumor biology and healthcare factors to racial disparity in breast cancer stage-at-diagnosis
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images
Artery/vein classification of retinal vessels using classifiers fusion
Identification of normal and depression EEG signals in variational mode decomposition domain
DPD (DePression Detection) Net: a deep neural network for multimodal depression detection
Colon cancer data analysis by chameleon algorithm
Outcome measures used in the smartphone applications for the management of low back pain: a systematic scoping review
An E-health system for monitoring elderly health based on Internet of Things and Fog computing
How bioinformatics influences health informatics: usage of biomolecular sequences, expression profiles and automated microscopic image analyses for clinical needs and public health
Ballistocardiogram signal processing: a review
Spatial-attention ConvMixer architecture for classification and detection of gastrointestinal diseases using the Kvasir dataset
A new diagnostic autism spectrum disorder (DASD) strategy using ensemble diagnosis methodology based on blood tests
Enhancing LLM-based clinical reasoning in anesthesiology via graph-augmented retrieval and explainable generation
GradCAM as an explicability method to evaluate the performance of deep learning models in classifying pediatric arteriovenous malformations (AVM) in arterial spin labeling sequences (ASL)
Automatic approach for constructing a knowledge graph of knee osteoarthritis in Chinese
Dynamic integration of biological data sources using the data concierge
Automated AJCC (7th edition) staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN)
Early detection of paediatric and adolescent obsessive-compulsive, separation anxiety and attention deficit hyperactivity disorder using machine learning algorithms
CD-Surv: a contrastive-based model for dynamic survival analysis
Draw+: network-based computational drug repositioning with attention walking and noise filtering
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
Multi-objective semi-supervised clustering to identify health service patterns for injured patients
Extracting and transforming clinical guidelines into pathway models for different hospital information systems
Margin-aware optimized contrastive learning for enhanced self-supervised histopathological image classification
Two-stage hybrid feature selection algorithms for diagnosing erythemato-squamous diseases
Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence
Segmentation of ultrasound images of thyroid nodule for assisting fine needle aspiration cytology
MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation
JuryFusionNet: a Condorcet's jury theorem-based CNN ensemble for enhanced monkeypox detection from skin lesion images
Tree hole rescue: an AI approach for suicide risk detection and online suicide intervention
Predicting drug-drug interactions based on multi-view and multichannel attention deep learning
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning
Text-based prediction of ımmunohistochemical biomarkers in breast cancer using a generative large language model: a retrospective study
An interpretable machine learning model for predicting sepsis-induced cardiomyopathy in ICU patients: development and validation using the MIMIC-IV database
"Similar query was answered earlier": processing of patient authored text for retrieving relevant contents from health discussion forum
Transfer learning based histopathologic image classification for breast cancer detection
Multi-level medical periodic patterns from human movement behaviors
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation
Local feature descriptors based ECG beat classification
Welcome to Health Information Science and Systems
Neuro-signaling techniques in video gaming endorsements: a cognitive and neural dynamics approach
A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia
Harbor seal whiskers optimization algorithm with deep learning-based medical imaging analysis for gastrointestinal cancer detection
A lightweight network based on multi-feature pseudo-color mapping for arrhythmia recognition
Knowledge-enhanced medical image classification via descriptive priors from large language models
An EEG-based patient-independent epileptic seizure detection method based on domain generative adversarial network
The custodian administered research extract server: "improving the pipeline" in linked data delivery systems
Utilizing multimodal models to forecast Alzheimer's disease progression and clinical subtypes
A GIS enhanced data analytics approach for predicting nursing home hurricane evacuation response
Supervised prediction of post-stroke upper limb motor recovery with uncertain knowledge graph and large language model
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine
Liver fibrosis MR images classification based on higher-order interaction and sample distribution rebalancing
Extracting features with medical sentiment lexicon and position encoding for drug reviews
Pre-collapse femoral head necrosis treated by hip abduction: a computational biomechanical analysis
Postoperative prognostic nomogram for adult grade II/III astrocytoma in the Chinese Han population
Interpretable large language models for early prediction of antimicrobial multidrug resistance
Characterization of biliary and duodenal microbiota in patients with primary and recurrent choledocholithiasis
Task-independent auditory probes reveal changes in mental workload during simulated quadrotor UAV training
Predicting risk of stillbirth and preterm pregnancies with machine learning
A stacked LSTM for atrial fibrillation prediction based on multivariate ECGs
Advancing personalized healthcare: leveraging explainable AI for BPPV risk assessment
MOLiNAS: multi-objective lightweight neural architecture search for whole-slide multi-class blood cell segmentation
Analyses of different prescriptions for health using artificial intelligence: a critical approach based on the international guidelines of health institutions
A novel multi-modal model to assist the diagnosis of autism spectrum disorder using eye-tracking data
Detecting self-harm in social media using term weighting schemes based on the distance between words and personal pronouns
Quantitative EEG in sports: performance level estimation of professional female soccer players
Centroid tracking and velocity measurement of white blood cell in video
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration
Analysis of contingency tables based on generalised median polish with power transformations and non-additive models
GLIMPSE: a glioblastoma prognostication model using ensemble learning - a surveillance, epidemiology, and end results study
Automatic breast tissue segmentation in MRIs with morphology snake and deep denoiser training via extended Stein's unbiased risk estimator
MHA: a multimodal hierarchical attention model for depression detection in social media
Deep-kidney: an effective deep learning framework for chronic kidney disease prediction
M-MSSEU: source-free domain adaptation for multi-modal stroke lesion segmentation using shadowed sets and evidential uncertainty
An embedded novel compact feature profile image in speech signal for teledermoscopy system
The nnU-Net based method for automatic segmenting fetal brain tissues
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning
Identification of circRNA-miRNA-mRNA networks to explore underlying mechanism in lung cancer
CLAD-Net: cross-layer aggregation attention network for real-time endoscopic instrument detection
Urate crystal deposition, prevention and various diagnosis techniques of GOUT arthritis disease: a comprehensive review
Analysis of the global situation of COVID-19 research based on bibliometrics
Risk adjustment and observation time: comparison between cross-sectional and 2-year panel data from the Medical Expenditure Panel Survey (MEPS)
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Lactococcus garvieae : a small bacteria and a big data world
Introduction of hierarchical deep features based on the VGG-16 model for enhancing diabetic retinopathy classification
Dengue outbreaks prediction in Bangladesh perspective using distinct multilayer perceptron NN and decision tree
A comparative study of improvements Pre-filter methods bring on feature selection using microarray data
Identification of cancer driver genes based on hierarchical weak consensus model
Heartbeat audio signal analysis for cardiovascular abnormality diagnosis using neural-networks
A semantic trajectory data warehouse for improving nursing productivity
A vision-language model-based approach for lung cancer diagnosis using lossless 3D CT images: evaluation of GPT-4.1 and GPT-4o for patient-level malignancy assessment
An efficient approach for physical actions classification using surface EMG signals
Timelygpt: extrapolatable transformer pre-training for long-term time-series forecasting in healthcare
Gpmb-yolo: a lightweight model for efficient blood cell detection in medical imaging
Alterations of DNA methylation profile in peripheral blood of children with simple obesity