yusuke1997/dblp-id-title huggingface dataset:
A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification
Multiscale CNN with compound fusions for false positive reduction in lung nodule detection
Expert systems in laboratory medicine and pathology
EPTs-TL: A two-level approach for efficient event prediction in healthcare
iACP-GAEnsC: Evolutionary genetic algorithm based ensemble classification of anticancer peptides by utilizing hybrid feature space
Proactive screening for depression through metaphorical and automatic text analysis
Automatic sleep scoring: A search for an optimal combination of measures
Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligence
Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch
Verification of temporal scheduling constraints in clinical practice guidelines
Integrating classification trees with local logistic regression in Intensive Care prognosis
Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey
Do machine learning methods make better predictions than conventional ones in pharmacoepidemiology? A systematic review, meta-analysis, and network meta-analysis
Deep generative models for physiological signals: A systematic literature review
Lesion boundary detection for skin lesion segmentation based on boundary sensing and CNN-transformer fusion networks
Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoising
Urinary nucleosides as potential tumor markers evaluated by learning vector quantization
Triplet-branch network with contrastive prior-knowledge embedding for disease grading
Generating concise and accurate classification rules for breast cancer diagnosis
From spoken narratives to domain knowledge: Mining linguistic data for medical image understanding
Towards a comprehensive treatment of repetitions, periodicity and temporal constraints in clinical guidelines
A multi-context CNN ensemble for small lesion detection
The accuracy, validity and reliability of Theia3D markerless motion capture for studying the biomechanics of human movement: A systematic review
Association measures for estimating semantic similarity and relatedness between biomedical concepts
Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review
CycleGAN for virtual stain transfer: Is seeing really believing?
Replication-based regularization approaches to diagnose Reinke's edema by using voice recordings
Histopathology image classification based on semantic correlation clustering domain adaptation
Artificial intelligence in neuroimaging: four challenges to improve interpretation of brain images
GravityNet for end-to-end small lesion detection
Transductive reliability estimation for medical diagnosis
Modeling the connections of brain regions in children with autism using cellular neural networks and electroencephalography analysis
Diseases diagnosis based on artificial intelligence and ensemble classification
Predicting warfarin dosage from clinical data: A supervised learning approach
Solving challenges in inter- and trans-disciplinary working teams: Lessons from the surgical technology field
BANTER: a Bayesian network tutoring shell
Deep variational graph autoencoders for novel host-directed therapy options against COVID-19
Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules
Model selection for a medical diagnostic decision support system: a breast cancer detection case
Optimization assisted Kalman filter for cancer chemotherapy dosage estimation
In dubio pro aegro
Model-based spectral estimation of Doppler signals using parallel genetic algorithms
Evaluating AI-driven characters in extended reality (XR) healthcare simulations: A systematic review
Augmenting DSM-5 diagnostic criteria with self-attention-based BiLSTM models for psychiatric diagnosis
Facing the challenge: Bringing brain-computer interfaces to end-users
Formalisation for decision support in anaesthesiology
SurgflowNet: Leveraging unannotated video for consistent endoscopic pituitary surgery workflow recognition
A systematic literature review of machine learning based risk prediction models for diabetic retinopathy progression
Philosophical foundations of artificial consciousness
Value function assessment to different RL algorithms for heparin treatment policy of patients with sepsis in ICU
Combining general and personal models for epilepsy detection with hyperdimensional computing
A deep survival analysis method based on ranking
Detecting signals of detrimental prescribing cascades from social media
FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis
CATNet: Cross-event attention-based time-aware network for medical event prediction
Suppressed fuzzy-soft learning vector quantization for MRI segmentation
Automated detection of myocardial infarction based on an improved state refinement module for LSTM/GRU
A two-step approach for mining patient treatment pathways in administrative healthcare databases
Structural shape characterization via exploratory factor analysis
Case-based reasoning emulation of persons for wheelchair navigation
Qualitative simulation of dynamic physiological models using the KEE environment
Position-aware deep multi-task learning for drug-drug interaction extraction
Determining and classifying the region of interest in ultrasonic images of the breast using neural networks
Temporal data mining for the quality assessment of hemodialysis services
Graph Fourier transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging
Explainable multiple abnormality classification of chest CT volumes
Review on deep learning fetal brain segmentation from Magnetic Resonance images
Custom machine learning algorithm for large-scale disease screening - taking heart disease data as an example
Filter versus wrapper gene selection approaches in DNA microarray domains
Regret theory-based clinical efficacy evaluation method with three-way decision
TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions
A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence
Quantitative knowledge presentation models of traditional Chinese medicine (TCM): A review
Exploratory data analysis in functional neuroimaging
Artificial neural network for the joint modelling of discrete cause-specific hazards
Formal description of temporal knowledge in case reports
Near-optimal insulin treatment for diabetes patients: A machine learning approach
Two-Stage Machine Learning model for guideline development
Data mining and genetic algorithm based gene/SNP selection
Towards a computer-aided diagnosis system for vocal cord diseases
Enriching representation learning using 53 million patient notes through human phenotype ontology embedding
Knowledge-based flash evoked potential recognition system
Application of tabu search strategy for finding low energy structure of protein
Automatic classification of epilepsy types using ontology-based and genetics-based machine learning
Rule-base derivation for intensive care ventilator control using ANFIS
Integrating model-based decision support in a multi-modal reasoning system for managing type 1 diabetic patients
ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network
A Markov decision process approach to multi-category patient scheduling in a diagnostic facility
Evaluation of a clinical decision support algorithm for patient-specific childhood immunization
Evolutionary computing for knowledge discovery in medical diagnosis
Neural network based classification of single-trial EEG data
Discovering metric temporal constraint networks on temporal databases
Multichannel mixture models for time-series analysis and classification of engagement with multiple health services: An application to psychology and physiotherapy utilization patterns after traffic accidents
Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses
A novel dynamical approach in continuous cuffless blood pressure estimation based on ECG and PPG signals
Computational methods for Gene Regulatory Networks reconstruction and analysis: A review
Comparative experiments on learning information extractors for proteins and their interactions
HR-BGCN : Predicting readmission for heart failure from electronic health records
Patient-specific game-based transfer method for Parkinson's disease severity prediction
AI in medical diagnosis: AI prediction & human judgment
Functional proteomic pattern identification under low dose ionizing radiation
Model-based diagnosis of brain disorders: a prototype framework
A machine learning perspective on the emotional content of Parkinsonian speech
MitPlan: A planning approach to mitigating concurrently applied clinical practice guidelines
Seven pillars of precision digital health and medicine
Abstract temporal diagnosis in medical domains
Decision support system for detection of hypertensive retinopathy using arteriovenous ratio
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network
Cost-effectiveness analysis with unordered decisions
Case-based prediction in experimental medical studies
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition
Classification of functional voice disorders based on phonovibrograms
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future - A systematic review
Executable medical guidelines with Arden Syntax - Applications in dermatology and obstetrics
Extracting deep features from short ECG signals for early atrial fibrillation detection
Medical image classification based on multi-scale non-negative sparse coding
Defining factors in hospital admissions during COVID-19 using LSTM-FCA explainable model
Deep learning for image-based liver analysis - A comprehensive review focusing on malignant lesions
DIAVAL, a Bayesian expert system for echocardiography
Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review
Efficient processing of multiple nested event pattern queries over multi-dimensional event streams based on a triaxial hierarchical model
Knowledge Engineering and Management: The CommonKADS Methodology - G. Schreiber, H. Akkermans, A. Anjewierden, R. de Hoog, N. Shadbolt, W. van de Velde, B. Wielinga, The MIT Press, Cambridge, MA, 2000, ISBN: 0-262-19300-0
Case-based learning of plans and goal states in medical diagnosis
A methodology for evaluation of knowledge-based systems in medicine
Consensus modeling: Safer transfer learning for small health systems
The Section on Medical Expert and Knowledge-Based Systems at the Department of Medical Computer Sciences of the University of Vienna Medical School
Workflow Management - Models, Methods and Systems: Wil van der Aalst, Kees van Hee, MIT Press, Cambridge, MA/London, England, 2002
Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science
A neural model of cortical map reorganization following a focal lesion
Mining knowledge for HEp-2 cell image classification
Integrating probabilistic trees and causal networks for clinical and epidemiological data
User-centered design in brain-computer interfaces - A case study
Knowledge-based temporal abstraction in clinical domains
Temporal abstraction for feature extraction: A comparative case study in prediction from intensive care monitoring data
BGRL: Basal Ganglia inspired Reinforcement Learning based framework for deep brain stimulators
A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders
Gene extraction for cancer diagnosis by support vector machines - An improvement
Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support
A generalizable normative deep autoencoder for brain morphological anomaly detection: application to the multi-site StratiBip dataset on bipolar disorder in an external validation framework
Fuzzy gating and the problem of screening
From decision to shared-decision: Introducing patients' preferences into clinical decision analysis
Transformation of Arden Syntax's medical logic modules into ArdenML for a business rules management system
A GMM-IG framework for selecting genes as expression panel biomarkers
Interpreting clinical latent representations using autoencoders and probabilistic models
Extracting cancer mortality statistics from death certificates: A hybrid machine learning and rule-based approach for common and rare cancers
The impact of machine learning on patient care: A systematic review
Approaches for creating computer-interpretable guidelines that facilitate decision support
Measuring performance in health care: case-mix adjustment by boosted decision trees
Discovery and integration of univariate patterns from daily individual organ-failure scores for intensive care mortality prediction
An anxiety screening framework integrating multimodal data and graph node correlation
Pronation and supination analysis based on biomechanical signals from Parkinson's disease patients
Evaluating switching neural networks through artificial and real gene expression data
Using cognitive task analysis to facilitate the integration of decision support systems into the neonatal intensive care unit
How to use contextual knowledge in medical case-based reasoning systems: A survey on very recent trends
Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains
Finding optimal decision scores by evolutionary strategies
Training artificial neural networks directly on the concordance index for censored data using genetic algorithms
An effective approach for CT lung segmentation using mask region-based convolutional neural networks
Evaluation of TELEDERM for dermatological services in rural and remote areas
The design and implementation of a ventilator-management advisor
Using support vector regression to model the correlation between the clinical metastases time and gene expression profile for breast cancer
A cooperative framework for segmentation of MRI brain scans
End-to-end offline reinforcement learning for glycemia control
Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice
A method based on cardiopulmonary coupling analysis for sleep quality assessment with FPGA implementation
AI-enabled clinical decision support tools for mental healthcare: A product review
Adaptive bandwidth selection for biomarker discovery in mass spectrometry
Combining a neural network with case-based reasoning in a diagnostic system
Supporting the distributed execution of clinical guidelines by multiple agents
On the use of pairwise distance learning for brain signal classification with limited observations
NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time
Automated detection of schizophrenia using nonlinear signal processing methods
VAE-GANMDA: A microbe-drug association prediction model integrating variational autoencoders and generative adversarial networks
Factors affecting the effectiveness of biomedical document indexing and retrieval based on terminologies
Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation
An incremental EM-based learning approach for on-line prediction of hospital resource utilization
Training data enhancements for improving colonic polyp detection using deep convolutional neural networks
Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT
Support of multilingual medical research
Enhancing metagenomic classification with compression-based features
Artificial intelligence and the future of psychiatry: Insights from a global physician survey
Planning of therapy and tests in causal probabilistic networks
Knowledge discovery in clinical decision support systems for pain management: A systematic review
Disentangled global and local features of multi-source data variational autoencoder: An interpretable model for diagnosing IgAN via multi-source Raman spectral fusion techniques
Identification of the optic nerve head with genetic algorithms
Optimized artificial neural network based performance analysis of wheelchair movement for ALS patients
Diagnosis of Alzheimer's disease by joining dual attention CNN and MLP based on structural MRIs, clinical and genetic data
De-identification of health records using Anonym: Effectiveness and robustness across datasets
Machine learning in computational docking
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model
Addressing the flaws of current critical alarms: a fuzzy constraint satisfaction approach
Objective and automated assessment of surgical technical skills with IoT systems: A systematic literature review
Machine learning and pre-medical education
Deep assessment of machine learning techniques using patient treatment in acute abdominal pain in children
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis
Logic engineering for knowledge engineering: design and implementation of the Oxford System of Medicine
A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis
Case-based reasoning for antibiotics therapy advice: an investigation of retrieval algorithms and prototypes
Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network
Computational proteomics analysis of binding mechanisms and molecular signatures of the HIV-1 protease drugs
Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review
DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network
An intelligent interactive system for delivering individualized information to patients
A qualitative process system for modeling NF-kB and AP-1 gene regulation in immune cell biology research
Spatiotemporal reasoning about epidemiological data
Extending temporal databases to deal with telic/atelic medical data
Development of traditional Chinese medicine clinical data warehouse for medical knowledge discovery and decision support
Evaluation of rule interestingness measures in medical knowledge discovery in databases
An improved multi-swarm particle swarm optimizer for optimizing the electric field distribution of multichannel transcranial magnetic stimulation
A systems approach to healthcare: Agent-based modeling, community mental health, and population well-being
A feature selection framework for anxiety disorder analysis using a novel multiview harris hawk optimization algorithm
Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction - A systematic literature review
Cancer survival classification using integrated data sets and intermediate information
An explainable deep learning-based algorithm with an attention mechanism for predicting the live birth potential of mouse embryos
A survey of deep learning models in medical therapeutic areas
A hybrid machine learning approach to cerebral stroke prediction based on imbalanced medical dataset
Text-to-movie authoring of anatomy lessons
Multilingual event extraction for epidemic detection
Intelligent wearable-assisted digital healthcare industry 5.0
Fully-channel regional attention network for disease-location recognition with tongue images
The fuzzy medical group in the centre for computational Intelligence
A label fusion method using conditional random fields with higher-order potentials: Application to hippocampal segmentation
Exploiting the advantages of symbolically interpretable continuous biomedical parameters with a fuzzyfied symbolic model
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
Identifying malignant transformations in recurrent low grade gliomas using high resolution magic angle spinning spectroscopy
Elicitation of neurological knowledge with argument-based machine learning
Semi-supervised image segmentation using a residual-driven mean teacher and an exponential Dice loss
Artificial intelligence and prediction of cardiometabolic disease: Systematic review of model performance and potential benefits in indigenous populations
Robert S. Ledley, 1926-2012
Data Augmentation for Few-Shot Biomedical NER Using ChatGPT
Hierarchical classification for differential diagnosis of fever of unknown origin: A multi-task learning approach with self-adaptive representation sharing
Intelligent computational model for classification of sub-Golgi protein using oversampling and fisher feature selection methods
Analysis of nasopharyngeal carcinoma risk factors with Bayesian networks
Artificial intelligence predicts lung cancer radiotherapy response: A meta-analysis
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation
Hierarchical medical image report adversarial generation with hybrid discriminator
Machine learning of clinical performance in a pancreatic cancer database
The natural language explanation algorithms for the lung cancer computer-aided diagnosis system
A classifier ensemble approach for the missing feature problem
Applications of artificial intelligence in liver cancer: A scoping review
Combining biometric and symbolic models for customised, automated prosthesis design
Wheelchair collaborative control for disabled users navigating indoors
Early anomaly detection in smart home: A causal association rule-based approach
Fuzzy ensemble clustering based on random projections for DNA microarray data analysis
Differential regulation analysis reveals dysfunctional regulatory mechanism involving transcription factors and microRNAs in gastric carcinogenesis
Logical analysis of diffuse large B-cell lymphomas
Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machines
Image partitioning and illumination in image-based pose detection for teleoperated flexible endoscopes
Spatio-temporal reasoning for multi-scale modeling in cardiology
Bayesian networks in biomedicine and health-care
ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia
Mémoire: A framework for semantic interoperability of case-based reasoning systems in biology and medicine
A stochastic model of susceptibility to antibiotic therapy - The effects of cross-resistance and treatment history
Structural proteomics of the poxvirus family
Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence
Predicting drug-drug interactions: A deep learning approach with GCN-based collaborative filtering
Mining of relations between proteins over biomedical scientific literature using a deep-linguistic approach
An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy
STERN: Attention-driven Spatial Transformer Network for abnormality detection in chest X-ray images
A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning
Evaluation of inherent performance of intelligent medical decision support systems: utilising neural networks as an example
On the interpretation of certainty factors in expert systems