yusuke1997/dblp-id-title huggingface dataset:
Bayesian network analysis of risk classification strategies in the regulation of cellular products
Classification of infectious diseases based on chemiluminescent signatures of phagocytes in whole blood
Bagging tree classifiers for laser scanning images: a data- and simulation-based strategy
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge
Automated transtibial prosthesis alignment: A systematic review
Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine
Medical informatics: reasoning methods
CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm
Optimization of the organizational structure in hospitals to account for patients with multiple diseases
On local anomaly detection and analysis for clinical pathways
Non-invasive estimate of blood glucose and blood pressure from a photoplethysmograph by means of machine learning techniques
Hybrid optimization techniques for the workshift and rest assignment of nursing personnel
Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room
Logische grundlagen der künstlichen intelligenz: Michael R. Genesereth and Nils J. Nilsson, (Vieweg & Sohn, Braunschweig, 1989) XXIV + 576 pp., softcover, DM 78.00
A model for single and multiple knowledge based networks
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression
Disease phenotype synonymous prediction through network representation learning from PubMed database
Automatic processing of multilingual medical terminology: applications to thesaurus enrichment and cross-language information retrieval
Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals
Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy
Oxygen saturation regularity analysis in the diagnosis of obstructive sleep apnea
Different approaches for identifying important concepts in probabilistic biomedical text summarization
Causality assessment of adverse drug reaction reports using an expert-defined Bayesian network
Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives
Subpopulation-specific confidence designation for more informative biomedical classification
Visualization and simulation techniques for surgical simulators using actual patient's data
Labeling images with facial emotion and the potential for pediatric healthcare
Applying instance-based techniques to prediction of final outcome in acute stroke
LkaM-PTM: Predicting PTM sites through multimodal protein features from capturing cross-field information
Web-video-mining-supported workflow modeling for laparoscopic surgeries
Prediction of weaning from mechanical ventilation using Convolutional Neural Networks
Comparing two approaches for aligning representations of anatomy
Non-obvious correlations to disease management unraveled by Bayesian artificial intelligence analyses of CMS data
Learning personalized ADL recognition models from few raw data
Use of genetic algorithms for neural networks to predict community-acquired pneumonia
Medication ordering based on a predictive knowledge base
Symbolic and hybrid AI for brain tissue segmentation using spatial model checking
Developing a drug library for smart pumps in a pediatric intensive care unit
A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis
Rams, hounds and white boxes: Investigating human-AI collaboration protocols in medical diagnosis
Missing data in medical databases: Impute, delete or classify?
GANs for medical image analysis
CEFEs: A CNN Explainable Framework for ECG Signals
Virtual genetic coding and time series analysis for alternative splicing prediction in C. elegans
A survey on computer-assisted Parkinson's Disease diagnosis
Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs
Domain randomization using synthetic electrocardiograms for training neural networks
OntoSIDES: Ontology-based student progress monitoring on the national evaluation system of French Medical Schools
Static and dynamic pressure prediction for prosthetic socket fitting assessment utilising an inverse problem approach
Artificial intelligence in medicine in China
Multicriteria fuzzy assignment method: a useful tool to assist medical diagnosis
Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation
The graphical presentation of decision support information in an intelligent anaesthesia monitor
Logic-based integrity constraints and the design of dental prostheses
Real-time detection of freezing of gait in Parkinson's disease using multi-head convolutional neural networks and a single inertial sensor
A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system
Instance-based classifiers applied to medical databases: Diagnosis and knowledge extraction
Highly accurate and consistent method for prediction of helix and strand content from primary protein sequences
Bio-medical entity extraction using support vector machines
Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint clinical assessment in shoulder CT scans
Parsimonious covering as a method for natural language interfaces to expert systems
Efficient discovery of risk patterns in medical data
Medical dictionaries for patient encoding systems: a methodology
Graph neural network modelling as a potentially effective method for predicting and analyzing procedures based on patients' diagnoses
Automated ICD coding using extreme multi-label long text transformer-based models
Variable step dynamic threshold local binary pattern for classification of atrial fibrillation
A multiple classifier system for early melanoma diagnosis
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images
Exploring the effectiveness of instruction tuning in biomedical language processing
The use of artificial neural networks to stratify the length of stay of cardiac patients based on preoperative and initial postoperative factors
Empowering elderly care with intelligent IoT-Driven smart toilets for home-based infectious health monitoring
A novel, direct spatio-temporal approach for analyzing fMRI experiments
Application of substitution box of present cipher for automated detection of snoring sounds
User-defined functions in the Arden Syntax: An extension proposal
Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions
Training and validating a treatment recommender with partial verification evidence
A new method for sleep apnea classification using wavelets and feedforward neural networks
Leveraging explainable artificial intelligence for transparent and trustworthy cancer detection systems
Neural transfer learning for assigning diagnosis codes to EMRs
Indexing biomedical documents: From thesaural to knowledge-based retrieval systems
Distributed cognition and knowledge-based controlled medical terminologies
Healing with hierarchy: Hierarchical attention empowered graph neural networks for predictive analysis in medical data
Comparing neural language models for medical concept representation and patient trajectory prediction
Deep multi-scale resemblance network for the sub-class differentiation of adrenal masses on computed tomography images
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
Strategic room type allocation for nursing wards through Markov chain modeling
Low back pain expert systems: Clinical resolution through probabilistic considerations and poset
Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework
ProtoRadNet: Prototypical patches of Convolutional Features for Radiology Image Classification Network
An intelligent tutoring system for visual classification problem solving
Decision support for comorbid conditions via execution-time integration of clinical guidelines using transaction-based semantics and temporal planning
Suicidal behaviour prediction models using machine learning techniques: A systematic review
Neural network classification of infrared spectra of control and Alzheimer's diseased tissue
Evolving rule-based systems in two medical domains using genetic programming
Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers
Bayesian learning for cardiac SPECT image interpretation
Methods in the Virtual Wetlab I: rule-based reasoning driven by nearest-neighbor lattice dynamics
Physiological applications of consistency-based diagnosis
Are AI-based surveillance systems for healthcare-associated infections ready for clinical practice? A systematic review and meta-analysis
A computerized induction analysis of possible co-variations among different elements in human tooth enamel
Application of constrained independent component analysis algorithms in electrocardiogram arrhythmias
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar
Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments
Complexity and spectral analysis of the heart rate variability dynamics for distant prediction of paroxysmal atrial fibrillation with artificial intelligence methods
Understanding patient reviews with minimum supervision
Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990-2022)
Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data
A methodology for customizing clinical tests for esophageal cancer based on patient preferences
A reinforcement learning based algorithm for personalization of digital, just-in-time, adaptive interventions
Pathway information on methylation analysis using deep neural network (PROMINENT): An interpretable deep learning method with pathway prior for phenotype prediction using gene-level DNA methylation
An ontology-based comparative anatomy information system
Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards
Hybrid brain-computer interfaces and hybrid neuroprostheses for restoration of upper limb functions in individuals with high-level spinal cord injury
Term dependency extraction using rule-based Bayesian Network for medical image retrieval
Fully convolutional attention network for biomedical image segmentation
Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model
Empowering large language models for automated clinical assessment with generation-augmented retrieval and hierarchical chain-of-thought
Random ensemble learning for EEG classification
A novel discrete learning-based intelligent methodology for breast cancer classification purposes
Recognition of patient anaesthetic levels: neural network systems, principal components analysis, and canonical discriminant variates
MENINGE: A medical consulting system for child's meningitis. Study on a series of consecutive cases
Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images
Special section on artificial intelligence for diabetes
A PROMETHEE based outranking approach for the construction of Fangcang shelter hospital using spherical fuzzy sets
Explaining the output of ensembles in medical decision support on a case by case basis
The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests
Joint segmentation of retinal layers and fluid lesions in optical coherence tomography with cross-dataset learning
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Neural Architecture Search for biomedical image classification: A comparative study across data modalities
A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction
State recognition of decompressive laminectomy with multiple information in robot-assisted surgery
Using interpretability approaches to update "black-box" clinical prediction models: an external validation study in nephrology
Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks
Case-based reasoning support for liver disease diagnosis
ONCODOC: a successful experiment of computer-supported guideline development and implementation in the treatment of breast cancer
Finding temporal patterns - a set-based approach
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset
Coordinate-based versus structural approaches to brain image analysis
Discrimination ability of individual measures used in sleep stages classification
A frame reduction system based on a color structural similarity (CSS) method and Bayer images analysis for capsule endoscopy
Aggregating evidence about the positive and negative effects of treatments
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis
Deep learning supported echocardiogram analysis: A comprehensive review
An introduction to programming in prolog: Patrick Saint-Dizier, (Springer-Verlag, New York, 1990) XI + 184 pp., 44 figures, softcover, DM 48.00
Development and validation of a deep interpretable network for continuous acute kidney injury prediction in critically ill patients
Optimisation-based modelling for explainable lead discovery in malaria
Cardiorespiratory fitness estimation in free-living using wearable sensors
Knowledge discovery in traditional Chinese medicine: State of the art and perspectives
A systematic review on the roles of remote diagnosis in telemedicine system: Coherent taxonomy, insights, recommendations, and open research directions for intelligent healthcare solutions
The evaluation of expert diagnostic systems. How to assess outcomes and quality parameters?
CCLDA: prediction of lncRNA-disease associations based on Convolutional Block Attention Module and Capsule Network
Screening nonrandomized studies for medical systematic reviews: A comparative study of classifiers
Computer models of hippocampal circuit changes of the kindling model of epilepsy
Mood recognition in bipolar patients through the PSYCHE platform: Preliminary evaluations and perspectives
Polygenic trait analysis by neural network learning
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling
Bolus Insulin calculation without meal information. A reinforcement learning approach
A decision aid for intensity-modulated radiation-therapy plan selection in prostate cancer based on a prognostic Bayesian network and a Markov model
Logical properties of foundational relations in bio-ontologies
Classification of electrocardiographic signals: a fuzzy pattern matching approach
Cooperation of fuzzy segmentation operators for correction aliasing phenomenon in 3D color Doppler imaging
Interactive prototype learning and self-learning for few-shot medical image segmentation
Few-shot transfer learning for personalized atrial fibrillation detection using patient-based siamese network with single-lead ECG records
Complex-valued wavelet artificial neural network for Doppler signals classifying
Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
Development and retrospective evaluation of Hepaxpert-I: a routinely-used expert system for interpretive analysis of hepatitis A and B serologic findings
Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems
A novel hierarchical selective ensemble classifier with bioinformatics application
Knowledge discovery and knowledge validation in intensive care
Neural network predictions of significant coronary artery stenosis in men
Dataset complexity in gene expression based cancer classification using ensembles of k-nearest neighbors
Model development for bespoke large language models for digital triage assistance in mental health care
Frequent temporal patterns of physiological and biological biomarkers and their evolution in sepsis
Bayesian tracking of intracranial pressure signal morphology
Avoiding premature closure in sequential diagnosis
A comprehensive review of ICU readmission prediction models: From statistical methods to deep learning approaches
A unique color-coded visualization system with multimodal information fusion and deep learning in a longitudinal study of Alzheimer's disease
Objective detection of brainstem auditory evoked potentials with a priori information from higher presentation levels
A Bayesian expert system for the analysis of an adverse drug reaction
A novel intelligent model for visualized inference of medical diagnosis: A case of TCM
Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction
Impact of four training conditions on physician use of a web-based clinical decision support system
Use of artificial neural networks in modeling associations of discriminant factors: towards an intelligent selective breast cancer screening
Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline
Recognition of dietary activity events using on-body sensors
Case-based object recognition for airborne fungi recognition
Artificial intelligence in biomedical engineering and informatics: An introduction and review
Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings
Comments on "The fuzzy polynucleotide space revisited" by Kazem Sadegh-Zadeh
Speckle reduction of OCT via super resolution reconstruction and its application on retinal layer segmentation
Decision support tools for clinical trial design
Mortality assessment in intensive care units via adverse events using artificial neural networks
Retraction notice to "Diagnosis Labeling with Disease-Specific Characteristics Mining" [Artif. Intell. Med. 90 (2018) 25-33]
Logarithmic simulated annealing for X-ray diagnosis
Using sensitivity analysis for efficient quantification of a belief network
Multi-scale feature enhancement in multi-task learning for medical image analysis
Semantic SenseLab: Implementing the vision of the Semantic Web in neuroscience
Automatic evidence quality prediction to support evidence-based decision making
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs
Fuzzy detection of EEG alpha without amplitude thresholding
The Intelligent Systems in Biomedicine laboratory in the Department of Automatic Control and Systems Engineering at the University of Sheffield, UK
Development of systems for support of collaboration in health care: the design arenas
Probabilistic problem solving in biomedicine
Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques
A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer
Data mining and machine learning in HIV infection risk research: An overview and recommendations
Machine learning in prognosis of the femoral neck fracture recovery
Artificial intelligence-driven approaches in antibiotic stewardship programs and optimizing prescription practices: A systematic review
Self-supervised out-of-distribution detection in wireless capsule endoscopy images
One framework, two systems: flexible abductive methods in the problem-space paradigm applied to antibody identification and biopsy interpretation
On the soundness and safety of expert systems
Intelligent Data Analysis in Medicine and Pharmacology, Edited by Nada Lavrac, Elpida Keravnou and Blaz Zupan, Kluwer, 1997
Symbolic decision support in medical care
Bayesian networks for patient monitoring
Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients
Multistep Automated Data Labelling Procedure (MADLaP) for thyroid nodules on ultrasound: An artificial intelligence approach for automating image annotation
Multi-way association extraction and visualization from biological text documents using hyper-graphs: Applications to genetic association studies for diseases
Understanding the nature of information seeking behavior in critical care: Implications for the design of health information technology
Design and Development of Human Computer Interface Using Electrooculogram with Deep Learning
AMFP-net: Adaptive multi-scale feature pyramid network for diagnosis of pneumoconiosis from chest X-ray images
A shape context fully convolutional neural network for segmentation and classification of cervical nuclei in Pap smear images
Diagnosis labeling with disease-specific characteristics mining
Diagnostic monitoring in anaesthesia using fuzzy trend templates for matching temporal patterns
Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence
Case-based reasoning for medical decision support tasks: The Inreca approach
Abstraction networks for terminologies: Supporting management of "big knowledge"
EHR coding with hybrid attention and features propagation on disease knowledge graph
A joint entity Relation Extraction method for document level Traditional Chinese Medicine texts
Intermediate depth representations
Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm
BDI personal medical assistant agents: The case of trauma tracking and alerting
The Foundational Model of Anatomy in OWL 2 and its use
UniStain: A unified and organ-aware virtual H&E staining framework for label-free autofluorescence images
Neural dynamics of short and medium-term motor control effects of levodopa therapy in Parkinson's disease
Batch Mode Active Learning on the Riemannian Manifold for Automated Scoring of Nuclear Pleomorphism in Breast Cancer
A hybrid framework for reverse engineering of robust Gene Regulatory Networks
Implementation of artificial intelligence in medicine: Status analysis and development suggestions
Anthropic agency: a multiagent system for physiological processes
Machine learning and clinical EEG data for multiple sclerosis: A systematic review
Model of experts for decision support in the diagnosis of leukemia patients
The problem of bias in training data in regression problems in medical decision support
Artificial neural network analysis of noisy visual field data in glaucoma
Inferential knowledge acquisition
Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review
MRI denoising by NeighShrink based on chi-square unbiased risk estimation
The three ghosts of medical AI: Can the black-box present deliver?
Remote Assessment of Eczema Severity via AI-powered Skin Image Analytics: A Systematic Review
A hybrid hierarchical decision support system for cardiac surgical intensive care patients. Part II. Clinical implementation and evaluation
Modeling disturbance management in anesthesia: A preliminary report
A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease