yusuke1997/dblp-id-title huggingface dataset:
Prediction of postoperative morbidity after lung resection using an artificial neural network ensemble
Automatic analysis of auditory nerve electrically evoked compound action potential with an artificial neural network
Human visual perception-inspired medical image segmentation network with multi-feature compression
The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy
CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction
Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: A systematic review of epigenome-wide studies
Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms
Building a case-based diet recommendation system without a knowledge engineer
Computerized content analysis of natural language
Medical privacy protection based on granular computing
A process-oriented reasoner about physiology
Discovering reliable protein interactions from high-throughput experimental data using network topology
Data mining a diabetic data warehouse
Treatment of missing data values in a neural network based decision support system for acute abdominal pain
Causal inference from indirect experiments
How knowledge drives understandingmatching medical ontologies with the needs of medical language processing
European research efforts in medical knowledge-based systems
Intelligent decision support systems for mechanical ventilation
Temporal case-based reasoning for type 1 diabetes mellitus bolus insulin decision support
Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopy
Support vector methods for survival analysis: a comparison between ranking and regression approaches
Fuzzy logic-based diagnostic algorithm for implantable cardioverter defibrillators
In Memoriam David Riaño, 1968-2022
Brain-controlled applications using dynamic P300 speller matrices
An introduction to formal language theory (with a contribution by James Pustejovsky): Robert N. Moll Michael A. Arbib, Springer, Berlin, 1988. X + 203 pages, 61 figures, hard cover, DM 68.00
Ontology-based decision support systems for diabetes nutrition therapy: A systematic literature review
Recent advances in extracting and processing rich semantics from medical texts
Gene- and evidence-based candidate gene selection for schizophrenia and gene feature analysis
Why did AI get this one wrong? - Tree-based explanations of machine learning model predictions
Designing computer-based frameworks that facilitate doctor-patient collaboration
Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases
Unsupervised learning from EEG data for epilepsy: A systematic literature review
FlauBERT vs. CamemBERT: Understanding patient's answers by a French medical chatbot
Artificial neural network-based equation for estimating VO 2max from the 20 m shuttle run test in adolescents
An algorithm for direct causal learning of influences on patient outcomes
Evaluating diagnostic content of AI-generated radiology reports of chest X-rays
Neuro-fuzzy closed-loop control of depth of anaesthesia
AI-driven dynamic grouping for adaptive clinical trials: Rethinking randomization in precision medicine
Model-based interpretation of cardiac beats by evolutionary algorithms: signal and model interaction
Sentiment analysis in medical settings: New opportunities and challenges
Efficient RNAi-based gene family knockdown via set cover optimization
An expert system for the detection of cervical cancer cells using knowledge-based image analyzer
Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue
Predicting breast cancer survivability: a comparison of three data mining methods
Overlapping cytoplasms segmentation via constrained multi-shape evolution for cervical cancer screening
Scalogram based prediction model for respiratory disorders using optimized convolutional neural networks
Self-organizing map for cluster analysis of a breast cancer database
Improved modeling of clinical data with kernel methods
A data-driven approach to referable diabetic retinopathy detection
Improving structural medical process comparison by exploiting domain knowledge and mined information
Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks
Similarity metrics for surgical process models
Detecting borderline infection in an automated monitoring system for healthcare-associated infection using fuzzy logic
Cause of Death estimation from Verbal Autopsies: Is the Open Response redundant or synergistic?
Solving quality assurance problems with object scripting languages
Clinical-GAN: Trajectory Forecasting of Clinical Events using Transformer and Generative Adversarial Networks
The determination of three subcutaneous adipose tissue compartments in non-insulin-dependent diabetes mellitus women with artificial neural networks and factor analysis
Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective
Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance
Detecting mental fatigue from eye-tracking data gathered while watching video: Evaluation in younger and older adults
Building Natural Language Generation Systems - Ehud Reiter and Robert Dale (Eds.), University of Aberdeen and Macquarie University, Cambridge University Press, 2000, ISBN 0-521-62036-8
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data
Refinement of the HEPAR expert system: tools and techniques
An integrated framework for risk profiling of breast cancer patients following surgery
Scenario recognition for temporal reasoning in medical domains
Boosting lesion annotation via aggregating explicit relations in external medical knowledge graph
An improved fuzzy set-based multifactor dimensionality reduction for detecting epistasis
A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media
Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis
Real-world prediction of preclinical Alzheimer's disease with a deep generative model
Artificial Intelligence in Medicine Europe AIME '01
Depression detection for twitter users using sentiment analysis in English and Arabic tweets
Patient-specific explanation in models of chronic disease
Data Mining: Methods for Knowledge Discovery, by Krzystof Cios, Witold Pedrycz, and Roman Swiniarski, Kluwer, 1998
Genetic algorithm for analysis of mutations in Parkinson's disease
Predicting the causative pathogen among children with osteomyelitis using Bayesian networks - improving antibiotic selection in clinical practice
Seamless monitoring of stress levels leveraging a foundational model for time sequences
Temporal reasoning for decision support in medicine
Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network
Building trustworthy large language model-driven generative recommender system for healthcare decision support: A scoping review of corpus sources, customization techniques, and evaluation frameworks
Mining heterogeneous networks with topological features constructed from patient-contributed content for pharmacovigilance
Brain tumor classification based on long echo proton MRS signals
Automated generation of patient-tailored electronic care pathways by translating computer-interpretable guidelines into hierarchical task networks
A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements
Knowledge modeling and acquisition of traditional Chinese herbal drugs and formulae from text
Intra-axiom redundancies in SNOMED CT
A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes
Memetic algorithms for de novo motif-finding in biomedical sequences
Guideline-informed reinforcement learning for mechanical ventilation in critical care
An end-to-end solution for out-of-hospital emergency medical dispatch triage based on multimodal and continual deep learning
R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification
Efficiency and safety of chemotherapy plans for children: CATIPOa nationwide approach
LLM-based approaches for automated vocabulary mapping between SIGTAP and OMOP CDM concepts
A generalized LLMs framework to support public health financing through probabilistic predictions and uncertainty quantification
Medical temporal reasoning
Indoor location identification of patients for directing virtual care: An AI approach using machine learning and knowledge-based methods
Improving clinical outcome predictions using convolution over medical entities with multimodal learning
Clinical decision support systems: Need for evidence, need for evaluation
CHNet: A multi-task global-local Collaborative Hybrid Network for KRAS mutation status prediction in colorectal cancer
Comparison of tree-based methods for prognostic stratification of survival data
Medical visual question answering based on question-type reasoning and semantic space constraint
Distributed, intelligent, interactive visualization and exploration of time-oriented clinical data and their abstractions
Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF
Artificial intelligence in medicine: state-of-the-art and future prospects
MF-OMKT: Model fusion based on online mutual knowledge transfer for breast cancer histopathological image classification
Enhancing obstetric and gynecology ultrasound images by adaptation of the speckle reducing anisotropic diffusion filter
Automated detection of qualitative spatio-temporal features in electrocardiac activation maps
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19
A model-based approach to the diagnosis of the cardiac arrhythmias
Mario Stefanelli, 1945-2010
A case study in ontology library construction
Adaptive controllers for intelligent monitoring
Deep Learning for hand tracking in Parkinson's Disease video-based assessment: Current and future perspectives
Automated classification of histopathology images using transfer learning
Learning and discovery from a clinical database: an incremental concept formation approach
A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery
Renoir, Pneumon-IA and Terap-IA: three medical applications based on fuzzy logic
The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future
Multilayered rule-based expert system for diagnosing uveitis
Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes
Least squares support vector regression for complex censored data
Cosine similarity measures of bipolar neutrosophic set for diagnosis of bipolar disorder diseases
Prediction of organ failure in critical care
Relationship between preparation of cells for therapy and cell quality using artificial neural network analysis
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach
Multi-annotation agreement and prediction consistency networks: Improving semi-supervised segmentation of medical images with ambiguous boundaries
Radial basis function neural networks for the characterization of heart rate variability dynamics
The adolescence of AI in medicine: will the field come of age in the '90s?
Detecting disease genes based on semi-supervised learning and protein-protein interaction networks
Ripple down rules: Turning knowledge acquisition into knowledge maintenance
Information visualization and its application to medicine
Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction
A scheme of inference of regular grammars for the syntactic pattern recognition of saccadic eye movements
Expertext for medical care and literature retrieval
Enhancing colorectal polyp segmentation with TCFMA-Net: A transformer-based cross feature and multi-attention network
Sepsis mortality prediction with the Quotient Basis Kernel
Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind
Classifying free-text triage chief complaints into syndromic categories with natural language processing
Improving predictive models of glaucoma severity by incorporating quality indicators
Automatic matching of surgeries to predict surgeons' next actions
A knowledge-based clinical toxicology consultant for diagnosing single exposures
Predicting disease progress with imprecise lab test results
M-ClustEHR: A multimodal clustering approach for electronic health records
A high-order representation and classification method for transcription factor binding sites recognition in Escherichia coli
Artificial plant optimization algorithm to detect heart rate & presence of heart disease using machine learning
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks
Classification of focal and non-focal EEG signals using optimal geometrical features derived from a second-order difference plot of FBSE-EWT rhythms
Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond
Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution
Detection of abnormal behaviour for dementia sufferers using Convolutional Neural Networks
The application of fuzzy-based methods to central nerve fiber imaging
Comparison of automatic summarisation methods for clinical free text notes
Detecting and resolving inconsistencies between domain experts' different perspectives on (classification) tasks
Harnessing machine learning for EEG signal analysis: Innovations in depth of anaesthesia assessment
Systematic review and meta-analysis of prediction models used in cervical cancer
Prediction of periventricular leukomalacia. Part I: Selection of hemodynamic features using logistic regression and decision tree algorithms
A new methodology for determining the central pressure waveform from peripheral measurement using Fourier-based machine learning
Emerging medical applications of virtual reality: a surgeon's perspective
Fuzzy attributes of a DNA complex: Development of a fuzzy inference engine for codon-"junk" codon delineation
Approximate dynamic programming approaches for appointment scheduling with patient preferences
Knowledge-based neurocomputing in medicine
Identifying a small set of marker genes using minimum expected cost of misclassification
An enhanced deep learning approach for brain cancer MRI images classification using residual networks
Speech translation for multilingual medical education leveraged by large language models
Osteoporosis prediction in lumbar spine X-ray images using the multi-scale weighted fusion contextual transformer network
Artificial Intelligence in Medicine in Europe AIME'03
Genetic design of feature spaces for pattern classifiers
Using artificial intelligence to predict patient wait times in the emergency department: A scoping review
Realistic hair simulator for skin lesion images: A novel benchemarking tool
Automated atrial fibrillation and ventricular fibrillation recognition using a multi-angle dual-channel fusion network
Subcellular localization prediction of apoptosis proteins based on evolutionary information and support vector machine
Constraint reasoning in deep biomedical models
Semantic coherence markers: The contribution of perplexity metrics
Dependency parsing for medical language and concept representation
Marvin Lee Minsky (1927-2016)
Evaluation of deep learning-based depression detection using medical claims data
Scalable approach for effective control of gene regulatory networks
Evolution of the Arden Syntax: Key Technical Issues from the Standards Development Organization Perspective
A graph theoretic approach to protein structure selection
Augmenting reality in rehabilitation medicine
Optimal testing policies for diagnosing patients with intermediary probability of disease
Temporal detection and analysis of guideline interactions
Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues
Flexible reasoning about patient management using multiple models
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks
Protein coding gene CRNKL1 as a potential prognostic biomarker in esophageal adenocarcinoma
The DeSyGNER knowledge management architecture: a building block approach based on an extensible kernel
Improving Bayesian credibility intervals for classifier error rates using maximum entropy empirical priors
Adaptive and personalized user behavior modeling in complex event processing platforms for remote health monitoring systems
Piecewise-linear criterion functions in oblique survival tree induction
A systematic and comprehensive review and investigation of intelligent IoT-based healthcare systems in rural societies and governments
Medical informatics, computer applications in health care: E.H. Shortliffe and L.E. Perreault, eds., G. Wiederhold and L.M. Fagan, associate eds., (Addison-Wesley, Reading, MA, 1990) 715 pp., $45.25
Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks
Statistical semantic and clinician confidence analysis for correcting abbreviations and spelling errors in clinical progress notes
Special issue on Human-Centered Artificial Intelligence for One Health
A deep convolutional neural network for the automatic segmentation of glioblastoma brain tumor: Joint spatial pyramid module and attention mechanism network
The learning classifier system: an evolutionary computation approach to knowledge discovery in epidemiologic surveillance
Explainable artificial intelligence for breast cancer: A visual case-based reasoning approach
An interpretable dual attention network for diabetic retinopathy grading: IDANet
A computer vision framework for finger-tapping evaluation in Parkinson's disease
A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
A hypermedia document collection for primary care: why, what, and how?
Evaluating a case-based discovery system: a case-study in content-oriented evaluation
Sleep classification in infants by decision tree-based neural networks
Multiscale analysis of short term heart beat interval, arterial blood pressure, and instantaneous lung volume time series
A multi-layered approach to protein data integration for diabetes research
Association of genetic profiles to Crohn's disease by linear combinations of single nucleotide polymorphisms
A system for the extraction and representation of summary of product characteristics content
Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset
Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients
Multi-criterion mammographic risk analysis supported with multi-label fuzzy-rough feature selection
CMCN: Chinese medical concept normalization using continual learning and knowledge-enhanced
Bleeding predisposition assessments in tonsillectomy/adenoidectomy patients using fuzzy interquartile encoded neural networks
Enhancing transformer-based architectures with geometric deep learning for colonoscopic polyp size classification using transfer learning
Modern parameterization and explanation techniques in diagnostic decision support system: A case study in diagnostics of coronary artery disease
Understanding tuberculosis epidemiology using structured statistical models
Dopaminergic-induced dyskinesia assessment based on a single belt-worn accelerometer
Describing disease processes using a probabilistic logic of qualitative time
Fusion of fuzzy statistical distributions for classification of thyroid ultrasound patterns
Explicit temporal models for decision-theoretic planning of clinical management
Knowledge Discovery and Data Mining, Volume 1 of IEE Professional Applications of Computing Series, Edited by M.A. Bramer, IEE, London, UK, 1999, ISBN 0-85296-767-5
Transformers for extracting breast cancer information from Spanish clinical narratives
GRU-D-Weibull: A novel real-time individualized endpoint prediction
Auditing concept categorizations in the UMLS
Feature subset selection for classification of histological images
A novel method of motor imagery classification using eeg signal
Models for measuring performance of medical expert systems
Transductive domain adaptive learning for epileptic electroencephalogram recognition
Graph neural networks in EEG spike detection
Using a multi-agent system approach for microaneurysm detection in fundus images
Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance
Teleconsultation dynamic scheduling with a deep reinforcement learning approach
HepatoConsult: a knowledge-based second opinion and documentation system
A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images
Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation
Learning from imbalanced data in surveillance of nosocomial infection
Fully non-homogeneous hidden Markov model double net: A generative model for haplotype reconstruction and block discovery
Tetromino pattern based accurate EEG emotion classification model
Differential automatic diagnosis between Alzheimer's disease and frontotemporal dementia based on perfusion SPECT images
An expert study evaluating the UMLS lexical metaschema
Software agents in health care
Intelligent visualization and exploration of time-oriented data of multiple patients
Selection of patients for clinical trials: an interactive web-based system
Automatic identification of confusable drug names
Secure construction of k-unlinkable patient records from distributed providers
A fuzzy-genetic approach to breast cancer diagnosis
ECG-based cardiac arrhythmias detection through ensemble learning and fusion of deep spatial-temporal and long-range dependency features
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images
EvidenceMap: Learning evidence analysis to unleash the power of small language models for biomedical question answering
Extension of mixture-of-experts networks for binary classification of hierarchical data
Intelligent quotient estimation of mental retarded people from different psychometric instruments using artificial neural networks
Multi-objective optimization in radiotherapy: applications to stereotactic radiosurgery and prostate brachytherapy
Fuzzy logic-based diagnostic algorithm plus ventricles depolarization morphology algorithm for implantable cardioverter-defibrillators
Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data