yusuke1997/dblp-id-title huggingface dataset:
Classification of auditory brainstem responses through symbolic pattern discovery
A cognitive blueprint of collaboration in context: Distributed cognition in the psychiatric emergency department
Prognostic prediction of sepsis patient using transformer with skip connected token for tabular data
Drinking from the firehose of experience
A novel temporal generative adversarial network for electrocardiography anomaly detection
Programmieren in prolog: W.F. Clocksin and C.S. Mellish, (Springer-Verlag, Berlin, 1990) XIV + 331 pp., 43 figures, softcover, DM 48.00
TransformerLSR: Attentive joint model of longitudinal data, survival, and recurrent events with concurrent latent structure
Towards dynamic cardiac scenes interpretation based on spatial-temporal knowledge
Data mining of gene expression changes in Alzheimer brain
Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection
How can information extraction ease formalizing treatment processes in clinical practice guidelines?: A method and its evaluation
An interpretable fuzzy rule-based classification methodology for medical diagnosis
Factors affecting automated syndromic surveillance
Rating organ failure via adverse events using data mining in the intensive care unit
Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction
Document classification for mining host pathogen protein-protein interactions
Medical checkup data analysis method based on LiNGAM and its application to nonalcoholic fatty liver disease
The auditory P300-based single-switch brain-computer interface: Paradigm transition from healthy subjects to minimally conscious patients
Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples
Medical decision making based on inductive learning method
Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning
Vessel Structure Extraction using Constrained Minimal Path Propagation
Modelling behavioral syndromes using Bayesian networks
Modeling multivariate clinical event time-series with recurrent temporal mechanisms
DrugNet: Network-based drug-disease prioritization by integrating heterogeneous data
Neural computing in medicine
Fraud detection in healthcare claims using machine learning: A systematic review
Modelling ECG signals with hidden Markov models
Cost-sensitive case-based reasoning using a genetic algorithm: Application to medical diagnosis
Intelligent and strong robust CVS-LVAD control based on soft-actor-critic algorithm
An evaluation of methods for detecting brain activations from functional neuroimages
Concept formation vs. logistic regression: predicting death in trauma patients
GCNGAT: Drug-disease association prediction based on graph convolution neural network and graph attention network
Precedence logic in the development of a blood bank expert system
Clinical benchmarking for the validation of AI medical diagnostic classifiers
An intelligent framework for the classification of the 12-lead ECG
Bayesian fluorescence in situ hybridisation signal classification
Medical expertext as regularity in semantic nets
Multiple hierarchical classification of free-text clinical guidelines
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks
MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networks
Seizure detection from multi-channel EEG using entropy-based dynamic graph embedding
SiMCAL 1 algorithm for analysis of gene expression data related to the phosphatidylserine receptor
Deep models for medical expert systems
Surgery scheduling based on large language models
A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis
Medical image classification via multiscale representation learning
Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem
Improving diagnostic ability of blood oxygen saturation from overnight pulse oximetry in obstructive sleep apnea detection by means of central tendency measure
Leveraging VQ-VAE tokenization for autoregressive modeling of medical time series
Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks
Gene Ontology analysis in multiple gene clusters under multiple hypothesis testing framework
A systematic review of few-shot learning in medical imaging
A temporal extension to the parsimonious covering theory
Versioning computer-interpretable guidelines: Semi-automatic modeling of 'Living Guidelines' using an information extraction method
Fuzzy support vector machine-based personalizing method to address the inter-subject variance problem of physiological signals in a driver monitoring system
Distant supervision for treatment relation extraction by leveraging MeSH subheadings
Using Arden Syntax Medical Logic Modules to reduce overutilization of laboratory tests for detection of bacterial infections - Success or failure?
Domain expertise-agnostic feature selection for the analysis of breast cancer data*
Feasibility of an objective electrophysiological loudness scaling: A kernel-based novelty detection approach
Deep learning in generating radiology reports: A survey
Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation
A Human-AI interaction paradigm and its application to rhinocytology
Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain - Acute Abdominal Pain Study Group
A novel method to use fuzzy soft sets in decision making based on ambiguity measure and Dempster-Shafer theory of evidence: An application in medical diagnosis
A fusion framework to extract typical treatment patterns from electronic medical records
Multi-test decision tree and its application to microarray data classification
A causal and temporal reasoning model and its use in drug therapy applications
Managing uncertainty in diagnosis of acute coronaric ischemia
Selection of effective features for ECG beat recognition based on nonlinear correlations
Multi-objective evolutionary algorithms for fuzzy classification in survival prediction
Cardio-ML: Detection of malicious clinical programmings aimed at cardiac implantable electronic devices based on machine learning and a missing values resemblance framework
Has machine learning over-promised in healthcare?: A critical analysis and a proposal for improved evaluation, with evidence from Parkinson's disease
AI-based mining of biomedical literature: Applications for drug repurposing for the treatment of dementia
A clinically actionable and explainable real-time risk assessment framework for stroke-associated pneumonia
Application of machine learning in affordable and accessible insulin management for type 1 and 2 diabetes: A comprehensive review
Extracting rules from pruned networks for breast cancer diagnosis
'Deep' models and their relation to diagnosis
Using Arden Syntax for the creation of a multi-patient surveillance dashboard
Medical data mining using evolutionary computation
Assessment of surveys for the management of hospital clinical pharmacy services
Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system
WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors
Reasoning requirements for diagnosis of heart disease
Computational intelligence in solving bioinformatics problems
Artificial Intelligence in Medicine AIME 2015
Automated tibiofemoral joint segmentation based on deeply supervised 2D-3D ensemble U-Net: Data from the Osteoarthritis Initiative
Dynamic knowledge validation and verification for CBR teledermatology system
Toward responsible artificial intelligence in medicine: Reflections from the Australian epilepsy project
Analyzing depression tendency of web posts using an event-driven depression tendency warning model
SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables
Intelligent dental training simulator with objective skill assessment and feedback
Local fuzzy fractal dimension and its application in medical image processing
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder
Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles
Dealing with uncertain knowledge in medical decision-making: A case study in hepatology
Machine learning for administrative health records: A systematic review of techniques and applications
Shape Analysis and Classification. Theory and Practice - Luciano da Fontoura Costa and Roberto Marcondes Cesar Jr.; CRC Press LLC, Boca Raton, 2001, ISBN 0-8493-3493-4
Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps
A unified framework of medical information annotation and extraction for Chinese clinical text
Mining post-surgical care processes in breast cancer patients
The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Combining structural equation modeling analysis with machine learning for early malignancy detection in Bethesda Category III thyroid nodules
Predicting the risk of exacerbation in patients with chronic obstructive pulmonary disease using home telehealth measurement data
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods
Pattern-based analysis of computer-interpretable guidelines: Don't forget the context
Mapping twenty years of antimicrobial resistance research trends
Automatic detection of epileptic seizure based on approximate entropy, recurrence quantification analysis and convolutional neural networks
Knowledge graph for TCM health preservation: Design, construction, and applications
Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels
Web-based adaptive training simulator system for cardiac life support
A modified artificial immune system based pattern recognition approach - An application to clinical diagnostics
An ignorant belief network to forecast glucose concentration from clinical databases
Joint self-supervised and supervised contrastive learning for multimodal MRI data: Towards predicting abnormal neurodevelopment
Efficient treatment of outliers and class imbalance for diabetes prediction
Automatic generation of natural language nursing shift summaries in neonatal intensive care: BT-Nurse
A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue
Automatic detection of distorted plethysmogram pulses in neonates and paediatric patients using an adaptive-network-based fuzzy inference system
A multi-stage multi-modal learning algorithm with adaptive multimodal fusion for improving multi-label skin lesion classification
A short-term operating room surgery scheduling problem integrating multiple nurses roster constraints
Prediction of anti-cancer drug response by kernelized multi-task learning
Medical informed machine learning: A scoping review and future research directions
Multi-step dimensionality reduction and semi-supervised graph-based tumor classification using gene expression data
Matching incomplete time series with dynamic time warping: an algorithm and an application to post-stroke rehabilitation
Pre-trained language models in medicine: A survey
MedSumGraph: enhancing GraphRAG for medical QA with summarization and optimized prompts
Fuzzy diagnosis
Advances in kidney biopsy lesion assessment through dense instance segmentation
Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes
Combining rule-based reasoning and mathematical modelling in diabetes care
Adaptive resource allocation for efficient patient scheduling
The NST-EXPERT project: the need to evolve
Case-based reasoning in the health sciences
Knowledge acquisition for knowledge-based systems: B.R. Gaines and J.H. Boose (eds.), Academic Press, London, 1988. Xix + 355 pages, £ 16.95
Automatic image-based assessment of lesion development during hemangioma follow-up examinations
A systematic review of networks for prognostic prediction of health outcomes and diagnostic prediction of health conditions within Electronic Health Records
Generalised reliability characteristics for probabilistic networks
Improved prediction of protein-protein interactions using novel negative samples, features, and an ensemble classifier
Semi-online patient scheduling in pathology laboratories
Implementation of an ontological reasoning to support the guideline-based management of primary breast cancer patients in the DESIREE project
STQS: Interpretable multi-modal S patial- T emporal-se Q uential model for automatic S leep scoring
An informed machine learning based environmental risk score for hypertension in European adults
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways
Temporal query processing with indefinite information
SCLResNet and DSAF: A self-supervised contrastive learning and deep self-attention fusion-based multimodal network for predicting central lymph node metastasis in papillary thyroid carcinoma
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support
An intelligent classifier for prognosis of cardiac resynchronization therapy based on speckle-tracking echocardiograms
Explaining heterogeneity of individual treatment causal effects by subgroup discovery: An observational case study in antibiotics treatment of acute rhino-sinusitis
A decision support system for cost-effective diagnosis
Intelligent analysis of clinical time series: an application in the diabetes mellitus domain
Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review
Monitoring hybrid process specifications with conflict management: An automata-theoretic approach
Dengue models based on machine learning techniques: A systematic literature review
Feasibility of spirography features for objective assessment of motor function in Parkinson's disease
A method for the development of disease-specific reference standards vocabularies from textual biomedical literature resources
Neural network modelling of soft tissue deformation for surgical simulation
The interpretable deep learning framework and validation for seizure detection in pediatric electroencephalography: An improved accuracy and performance analysis
Electrohysterography in modern obstetrics: Advances in signal processing, machine learning, and clinical applications
GAPPA: Enhancing prognosis prediction in primary aldosteronism post-adrenalectomy using graph-based modeling
On mining clinical pathway patterns from medical behaviors
Do Japanese word-embedded representations obtained in the academic corpus retain the medical concepts of "infarction"?
Automatic semantic segmentation of the lumbar spine: Clinical applicability in a multi-parametric and multi-center study on magnetic resonance images
Execution-time integration of clinical practice guidelines to provide decision support for comorbid conditions
User recommendation in healthcare social media by assessing user similarity in heterogeneous network
Open-set recognition of breast cancer treatments
Ten years of knowledge representation for health care (2009-2018): Topics, trends, and challenges
Digital phenotyping for mental health based on data analytics: A systematic literature review
Employing heat maps to mine associations in structured routine care data
A comprehensive review on federated learning based models for healthcare applications
Adapting language models for mental health analysis on social media
Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal data
Deep learning based estimation of heart surface potentials
Characterizing the critical features when personalizing antihypertensive drugs using spectrum analysis and machine learning methods
Synthesis of a high resolution social contact network for Delhi with application to pandemic planning
ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram
Gaussian process classification of superparamagnetic relaxometry data: Phantom study
Continuous action deep reinforcement learning for propofol dosing during general anesthesia
Signal identification system for developing rehabilitative device using deep learning algorithms
Modelling and assessing one- and two-drug dose titrations
Metareasoning and meta-level learning in a hybrid knowledge-based architecture
Evolving classification of intensive care patients from event data
Surgical motion analysis using discriminative interpretable patterns
Improving the anesthetic process by a fuzzy rule based medical decision system
Intelligent medical training systems
Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals
Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness
An object-oriented approach to knowledge representation in a biomedical domain
GenSo-FDSS: a neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data
Fusion of classic P300 detection methods' inferences in a framework of fuzzy labels
Identifying significant edges in graphical models of molecular networks
An expert system for the evaluation of EDSS in multiple sclerosis
Deep supervised learning with mixture of neural networks
Transferring brain-computer interfaces beyond the laboratory: Successful application control for motor-disabled users
Interpreting deep learning models for epileptic seizure detection on EEG signals
Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods
Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training
Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance
Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses
Feasibility of case-based beam generation for robotic radiosurgery
A reliable method for cell phenotype image classification
Intensity-based image registration using scatter search
Classification of healthy and abnormal swallows based on accelerometry and nasal airflow signals
Automated segmentation of human brain MR images using a multi-agent approach
Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes
An algorithm for complete enumeration of the mechanisms of supraventricular tachycardias that use multiple atrioventricular, AV nodal, and/or Mahaim pathways
Predicting glaucomatous visual field deterioration through short multivariate time series modelling
Linking clinical data using XML topic maps
Reconstruction-based approach for chest X-ray image segmentation and enhanced multi-label chest disease classification
Predicting readmission risk with institution-specific prediction models
Component-based mediation services for the integration of medical applications
Artificial intelligence in physical rehabilitation: A systematic review
The coming of age of artificial intelligence in medicine
Data imputation and compression for Parkinson's disease clinical questionnaires
Fundamentals of clinical methodology: 2. Etiology
A patient's perspective on medical records
PC-KANDID: An expert system for electromyography
Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks
Temporal abstraction in intelligent clinical data analysis: A survey
Terminological resources for text mining over biomedical scientific literature
Acute leukemia classification by ensemble particle swarm model selection
The GRAIL concept modelling language for medical terminology
KGDB-DDI:Knowledge graph-based drug background data fusion model for drug-drug interaction prediction
Siamese evolutionary masking: Enhancing the generalization of self-supervised medical image segmentation model
Investigating the discrimination ability of 3D convolutional neural networks applied to altered brain MRI parametric maps
Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection
CapillaryNet: An automated system to quantify skin capillary density and red blood cell velocity from handheld vital microscopy
A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU
Investigating the understandability of XAI methods for enhanced user experience: When Bayesian network users became detectives
SDMentor: A virtual reality-based intelligent tutoring system for surgical decision making in dentistry
A multicenter random forest model for effective prognosis prediction in collaborative clinical research network
Multi-objective evolutionary design of antibiotic treatments
A hybrid genetic algorithm-queuing multi-compartment model for optimizing inpatient bed occupancy and associated costs
Analysis of adverse drug reactions using drug and drug target interactions and graph-based methods
Brain volumes characterisation using hierarchical neural networks
Artificial Neural Networks in Biomedicine - Paulo J.G. Lisboa, Emmanuel C. Ifeachor and Piotr S. Szczepaniak (Eds.), Springer-Verlag, London, 2000, ISBN 1-85233-005-8
Predicting hospital associated disability from imbalanced data using supervised learning
Machine learning models based on the dimensionality reduction of standard automated perimetry data for glaucoma diagnosis
From SNOMED CT to Uberon: Transferability of evaluation methodology between similarly structured ontologies
Machine learning-based models for gestational diabetes mellitus prediction before 24-28 weeks of pregnancy: A review
Fenchel duality of Cox partial likelihood with an application in survival kernel learning
Negation and speculation processing: A study on cue-scope labelling and assertion classification in Spanish clinical text
Wörterbuch der medizinischen informatik: Hans Jürgen Seelos (ed.), (Walter de Gruyter, Berlin, 1990) XXII + 550 pp., 34 figures, hardcover, DM 148.00
Spatiotemporal Bayesian networks for malaria prediction
Supervised classification of bradykinesia in Parkinson's disease from smartphone videos
Temporal reasoning for diagnosis in a causal probabilistic knowledge base
An ensemble method for extracting adverse drug events from social media
Healthcare facilities management: A novel data-driven model for predictive maintenance of computed tomography equipment
Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach
PGKD-Net: Prior-guided and Knowledge Diffusive Network for Choroid Segmentation
Statistical analysis of combined dose effects for experiments with two agents
Retrieving cases for treatment advice in nursing using text representation and structured text retrieval
Traveling on discrete embeddings of gene expression
The UK MARIBS Breast Screening Study: Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods
SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media