yusuke1997/dblp-id-title huggingface dataset:
Optimizing the setting of medical interactive rehabilitation assistant platform to improve the performance of the patients: A case study
Ensemble neural network approach detecting pain intensity from facial expressions
A framework to extract biomedical knowledge from gluten-related tweets: The case of dietary concerns in digital era
Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network
Evaluating the effects of cognitive support on psychiatric clinical comprehension
Multimodal tensor-based method for integrative and continuous patient monitoring during postoperative cardiac care
DisTeam: A decision support tool for surgical team selection
Neural computation in medicine
Utilizing semantically enhanced self-supervised graph convolution and multi-head attention fusion for herb recommendation
A sequential neural network model for diabetes prediction
A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning
Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers
Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET-CT imaging
Quantifying the impact of data characteristics on the transferability of sleep stage scoring models
Assessment of classification improvement in patients with Alzheimer's disease based on magnetoencephalogram blind source separation
Generating personalized advice for schizophrenia patients
A deep representation learning algorithm on drug-target interaction to screen novel drug candidates for Alzheimer's disease
Interactive medical image segmentation via a point-based interaction
Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning
Multilevel Bayesian networks for the analysis of hierarchical health care data
Advances in case-based reasoning in the health sciences
Multiple representations and multi-modal reasoning in medical diagnostic systems
A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity
Source-free domain adaptive segmentation with class-balanced complementary self-training
Multiplex aggregation combining sample reweight composite network for pathology image segmentation
Clinical monitoring using regression-based trend templates
Safety and usability evaluation of a web-based insulin self-titration system for patients with type 2 diabetes mellitus
Using preference learning for detecting inconsistencies in clinical practice guidelines: Methods and application to antibiotherapy
AMOTS: Partially supervised framework for abdominal multi-organ and tumor segmentation via aspect-aware complementary
Enhancing evidence-based medicine with natural language argumentative analysis of clinical trials
A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis
Supporting physicians in the coordination of distributed execution of CIGs to treat comorbid patients
Foudations of Rational Agency - M. Wooldridge, A. Rao (Eds.), Kluwer Academic Publishers, 1999, ISBN 0-7923-5601-2
An approach to fuzzy soft sets in decision making based on grey relational analysis and Dempster-Shafer theory of evidence: An application in medical diagnosis
Stable feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation for biomarker discovery in breast cancer
Learnable weight initialization for volumetric medical image segmentation
A multi-module case-based biofeedback system for stress treatment
Adaptive dynamic programming algorithms for sequential appointment scheduling with patient preferences
Creating personalised clinical pathways by semantic interoperability with electronic health records
Architectures for intelligent systems based on reusable components
Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models
Individual tooth detection and identification from dental panoramic X-ray images via point-wise localization and distance regularization
Probabilities for a probabilistic network: a case study in oesophageal cancer
Weak label based Bayesian U-Net for optic disc segmentation in fundus images
A deep-learning-based unsupervised model on esophageal manometry using variational autoencoder
Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers
An appraisal of INTERNIST-I
Finding reduced Raman spectroscopy fingerprint of skin samples for melanoma diagnosis through machine learning
Practical fine-grained learning based anomaly classification for ECG image
Collaboration-based medical knowledge recommendation
Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review
CADIAG-2 and MYCIN-like systems
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review
Depression recognition using machine learning methods with different feature generation strategies
Don't care values in induction
Knowledge-light adaptation approaches in case-based reasoning for radiotherapy treatment planning
Artificial metaplasticity prediction model for cognitive rehabilitation outcome in acquired brain injury patients
Virtual Trials: Causally-validated treatment effects efficiently learned from an observational cancer registry
Early identification of ICU patients at risk of complications: Regularization based on robustness and stability of explanations
Advanced fuzzy cellular neural network: Application to CT liver images
Understanding what patients think about hospitals: A deep learning approach for detecting emotions in patient opinions
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study
A segmentation framework for abdominal organs from CT scans
DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings
The construction of knowledge in neurology: implications for hypermedia system development
A consultation system for recognition of human body segments from tomograms
Case-based reasoning in IVF: prediction and knowledge mining
Using echo state networks for classification: A case study in Parkinson's disease diagnosis
Development of decision support tools by model order reduction for active endovascular navigation
Semantic relations for problem-oriented medical records
Formulating and testing hypotheses in functional genomics
Voice analysis in Parkinson's disease - a systematic literature review
Method of regulatory network that can explore protein regulations for disease classification
Hybrid genetic algorithm-neural network: Feature extraction for unpreprocessed microarray data
A survey for large language models in biomedicine
Artificial intelligence in medicine AIME 2011
An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records
Evaluation of an automated knowledge-based textual summarization system for longitudinal clinical data, in the intensive care domain
Robust effects of Tsr-CheBp and CheA-CheYp affinity in bacterial chemotaxis
A review on brain structures segmentation in magnetic resonance imaging
Using ontologies linked with geometric models to reason about penetrating injuries
Facial wrinkle segmentation using weighted deep supervision and semi-automatic labeling
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection
Monkeypox diagnosis using ensemble classification
Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants
Automatic quantitative stroke severity assessment based on Chinese clinical named entity recognition with domain-adaptive pre-trained large language model
Noninvasive evaluation of mental stress using by a refined rough set technique based on biomedical signals
Computational modeling of oligonucleotide positional densities for human promoter prediction
Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading
Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques
Using Boolean reasoning to anonymize databases
Developing novel dynamic prediction methods for survival time to analyze short-term and long-term progression of Alzheimer's disease
Designing explainable AI to improve human-AI team performance: A medical stakeholder-driven scoping review
Causal inference model for accurate medical diagnosis in Coronary Artery Bypass Graft operation
Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning
Managing temporal worlds for medical trend diagnosis
Assessing and combining repeated prognosis of physicians and temporal models in the intensive care
An interactive framework for an analysis of ECG signals
Canada protocol: An ethical checklist for the use of artificial Intelligence in suicide prevention and mental health
Automated design of diagnostic systems
Asymmetric cross-modal attention network with multimodal augmented mixup for medical visual question answering
Prediction of diagnosis in patients with early arthritis using a combined Kohonen mapping and instance-based evaluation criterion
Machine learning-based heart disease diagnosis: A systematic literature review
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers
Temporal logics and their applications: Antony Galton (ed.), (Academic Press, Harcourt Brace Jovanovich Publishers, London, 1987) XII + 244 pp., hardcover, £ 24.00
Development and comparison of four sleep spindle detection methods
Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD
Liver segmentation from computed tomography scans: A survey and a new algorithm
Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency
Report of research activities in fuzzy AI and medicine at USF CSE
RM-GPT: Enhance the comprehensive generative ability of molecular GPT model via LocalRNN and RealFormer
Comprehensible evaluation of prognostic factors and prediction of wound healing
Metaphors of movement: a visualization and user interface for time-oriented, skeletal plans
Ontology-based student testing through clinical guidelines: An AI approach
Scalable gastroscopic video summarization via similar-inhibition dictionary selection
Interactive web service system for exploration of biological pathways
Paraconsistent logics as a formalism for reasoning about inconsistent knowledge bases
Machine learning based identification of protein-protein interactions using derived features of physiochemical properties and evolutionary profiles
Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks
Indexing the Event Calculus: Towards practical human-readable Personal Health Systems
A tutorial introduction to stochastic simulation algorithms for belief networks
Resolution-based distillation for efficient histology image classification
Objectification and negotiation in interpreting clinical images: implications for computer-based patient records
Classification of cancer cell death with spectral dimensionality reduction and generalized eigenvalues
Combining clinical assessment scores and in vivo MR spectroscopy neurometabolites in very low birth weight adolescents
A non-invasive machine learning mechanism for early disease recognition on Twitter: The case of anemia
Skin cancer diagnosis based on optimized convolutional neural network
Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images
Comparison of neural network predictors in the classification of tracheal-bronchial breath sounds by respiratory auscultation
Improving the Mann-Whitney statistical test for feature selection: An approach in breast cancer diagnosis on mammography
Contrastive image adaptation for acquisition shift reduction in medical imaging
Modelling and multivariable control in anaesthesia using neural-fuzzy paradigms: Part II. Closed-loop control of simultaneous administration of propofol and remifentanil
Cardiovascular disease detection from high utility rare rule mining
BDFormer: Boundary-aware dual-decoder transformer for skin lesion segmentation
The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients
Visual MRI: Merging information visualization and non-parametric clustering techniques for MRI dataset analysis
Glaucoma detection: Binocular approach and clinical data in machine learning
Information visualisation in clinical Odontology: multidimensional analysis and interactive data exploration
Generating synthetic clinical text with local large language models to identify misdiagnosed limb fractures in radiology reports
Using model checking for critiquing based on clinical guidelines
Automatic classification of radiological reports for clinical care
Feature subset selection by genetic algorithms and estimation of distribution algorithms - A case study in the survival of cirrhotic patients treated with TIPS
Multi-stage domain-specific pretraining for improved detection and localization of Barrett's neoplasia: A comprehensive clinically validated study
Sum of similarity-regularized squared correlations for enhancing SSVEP detection
Automated Machine Learning in medical research: A systematic literature mapping study
Handling imbalanced medical image data: A deep-learning-based one-class classification approach
Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method
Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition
Case scenario generators for trauma surgery simulation utilizing autoregressive language models
Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluation
Computational intelligence and machine learning in bioinformatics
Decision support in the operating theatre and intensive care: A personal view
Machine learning for survival analysis: a case study on recurrence of prostate cancer
Foetal ECG recovery using dynamic neural networks
Conceptual-driven classification for coding advise in health insurance reimbursement
Striatal mechanisms in Parkinson's disease: new insights from computer modeling
Dimensionality reduction and ensemble of LSTMs for antimicrobial resistance prediction
Extraction and use of linguistic patterns for modelling medical guidelines
A novel convolutional neural network for reconstructing surface electrocardiograms from intracardiac electrograms and vice versa
Artificial intelligence in depression diagnostics: A systematic review of methodologies and clinical applications
An integrated ELECTRE method for selection of rehabilitation center with m-polar fuzzy N-soft information
Abstraction on clinical data sequences: an object-oriented data model and a query language based on the event calculus
GraphCF: Drug-target interaction prediction via multi-feature fusion with contrastive graph neural network
Medical knowledge graph completion via fusion of entity description and type information
Predicting lab values for gastrointestinal bleeding patients in the intensive care unit: A comparative study on the impact of comorbidities and medications
DIAGAID: a connectionist approach to determine the diagnostic value of clinical data
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network
Development and evaluation of VIE-PNN, a knowledge-based system for calculating the parenteral nutrition of newborn infants
Vicinal support vector classifier using supervised kernel-based clustering
Adopting model checking techniques for clinical guidelines verification
MS-CPFI: A model-agnostic Counterfactual Perturbation Feature Importance algorithm for interpreting black-box Multi-State models
Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases
A society of goal-oriented agents for the analysis of living cells
Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review
Erratum to "Transductive reliability estimation for medical diagnosis" [Artif. Intell. Med. 29: 81-106(2003)]
Automatic negation detection in narrative pathology reports
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics
Bayesian networks in healthcare: Distribution by medical condition
EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature
AI in medical educationanother grand challenge for medical informatics
Identifying stroke-related quantified evidence from electronic health records in real-world studies
Reinforcement learning for intelligent healthcare applications: A survey
Dictionary-based monitoring of premature ventricular contractions: An ultra-low-cost point-of-care service
Breast cancer diagnosis from histopathological images using textural features and CBIR
Temporal representation and reasoning in medicine: Research directions and challenges
Towards a statistically oriented decision support system for the management of septicaemia
An automatic microcalcification detection system based on a hybrid neural network classifier
Granular support vector machines with association rules mining for protein homology prediction
Brain Painting: Usability testing according to the user-centered design in end users with severe motor paralysis
Evaluation of two different models of semi-automatic knowledge acquisition for the medical consultant system CADIAG-II/RHEUMA
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
CheXGAT : A disease correlation-aware network for thorax disease diagnosis from chest X-ray images
A landmark extraction method for protein 2DE gel images based on multi-dimensional clustering
Automatic pediatric congenital heart disease classification based on heart sound signal
Improving wearable-based seizure prediction by feature fusion using an explainable growing network
A method for automated temporal knowledge acquisition applied to sleep-related breathing disorders
Feature selection for optimized skin tumor recognition using genetic algorithms
Towards automatic encoding of medical procedures using convolutional neural networks and autoencoders
A clinical information system for oncology: John P. Enterline, Raymond E. Lenhard and Bruce I. Blum, Springer, Berlin, 1989. Xvii + 268 pages, 103 figures, hard cover, DM 90.00
AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques
Context-aware heterogeneous graph neural network for multi-level description and invasiveness prediction in renal cell carcinoma
Methodological issues in validating decision-support systems for insulin dosage adjustment
Unprepared and overwhelmed: A case for clinician-focused AI education
CoSumNet: A video summarization-based framework for COVID-19 monitoring in crowded scenes
Gene selection for microarray data classification via multi-objective graph theoretic-based method
A multi-scale keypoint estimation network with self-supervision for spinal curvature assessment of idiopathic scoliosis from the imperfect dataset
Using graph rewriting to operationalize medical knowledge for the revision of concurrently applied clinical practice guidelines
Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods
Summarization from medical documents: a survey
Flexible support for trauma management through goal-directed reasoning and planning
Multi-agent model of hepatitis C virus infection
A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support
Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm
Node merging in Kohonen's self-organizing mapping of fMRI data
Predicting overlapping protein complexes from weighted protein interaction graphs by gradually expanding dense neighborhoods
Mining association rules with improved semantics in medical databases
An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran
Finding related functional neuroimaging volumes
Enhanced ICD-10 code assignment of clinical texts: A summarization-based approach
A methodology for the characterization and diagnosis of cognitive impairments - Application to specific language impairment
Markov decision process applied to the control of hospital elective admissions
A multi-agent intelligent environment for medical knowledge
An intelligent learning approach for improving ECG signal classification and arrhythmia analysis
A self-supervised algorithm to detect signs of social isolation in the elderly from daily activity sequences
Expert system support for the therapeutic management of cerebrovascular disease
Fuzzy inference model based on triaxial signals for pronation and supination assessment in Parkinson's disease patients
Web-based health care agents; the case of reminders and todos, too (R2Do2)
Wearable sensor-based evaluation of psychosocial stress in patients with metabolic syndrome
Clinical time series prediction: Toward a hierarchical dynamical system framework
Erratum to Theme Issue on "Evolutionary Computation in Medicine"
The role of natural language processing in improving cancer care: A scoping review with narrative synthesis
A novel deep mining model for effective knowledge discovery from omics data
Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry
The Logic of Knowledge Bases - Hector J. Levesque, Gerhard Lakemeyer (Eds.), MIT Press, Cambridge, MA, 2000, ISBN 0-262-12232-4
Inconsistency as a diagnostic tool in a society of intelligent agents
A comprehensive survey on the use of deep learning techniques in glioblastoma
Exploiting the systematic review protocol for classification of medical abstracts
Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review
Detecting potential signals of adverse drug events from prescription data
An evaluation of intelligent prognostic systems for colorectal cancer
MEDIC: Medical embedded device for individualized care
A fuzzy expert system shell: From minicomputer to PC
A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
Data mining for indicators of early mortality in a database of clinical records
Ethical evaluation of artificial intelligence applications in radiotherapy using the Four Topics Approach
INKBLOT: A neurological diagnostic decision support system integrating causal and anatomical knowledge
Computerised electrocardiology employing bi-group neural networks
BertMCN: Mapping colloquial phrases to standard medical concepts using BERT and highway network
How does the model make predictions? A systematic literature review on the explainability power of machine learning in healthcare
An evolutionary approach to constructing prognostic models
A comparison of three computational modelling methods for the prediction of virological response to combination HIV therapy
Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications