yusuke1997/dblp-id-title huggingface dataset:
Random Forest enhancement using improved Artificial Fish Swarm for the medial knee contact force prediction
FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval
Corrigendum to "A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease" [Artif Intell Med 104 (2020) 101838]
Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction
Fuzzy methods in tremor assessment, prediction, and rehabilitation
Predicting sequenced dental treatment plans from electronic dental records using deep learning
Global and local attentional feature alignment for domain adaptive nuclei detection in histopathology images
Obtaining interpretable fuzzy classification rules from medical data
Toward development of PreVoid alerting system for nocturnal enuresis patients: A fuzzy-based approach for determining the level of liquid encased in urinary bladder
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network
The applications of machine learning in HIV neutralizing antibodies research - A systematic review
SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction
The Spoken Language Translator - M. Rayner, D. Carter, P. Bouillon, V. Digalakis, M. Wirn (Eds.), Studies in Natural Language Processing Series, Cambridge University Press, Cambridge, UK, 2000, ISBN 0521770777
An expert system for the interpretation of full blood counts and blood smears in a hematology laboratory
On treatment selection in the face of uncertainty in expert systems
A method for the early prediction of chronic diseases based on short sequential medical data
Upper-limb functional assessment after stroke using mirror contraction: A pilot study
Deep learning in acupuncture: A systematic review
A trusted medical image super-resolution method based on feedback adaptive weighted dense network
Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods
Side chain placement using estimation of distribution algorithms
From frames to OWL2: Converting the Foundational Model of Anatomy
Word-level text highlighting of medical texts for telehealth services
MvKFN-MDA: Multi-view Kernel Fusion Network for miRNA-disease association prediction
An application of methods for the probabilistic three-class classification of pregnancies of unknown location
Texture descriptors and voxels for the early diagnosis of Alzheimer's disease
MMF-NNs: Multi-modal Multi-granularity Fusion Neural Networks for brain networks and its application to epilepsy identification
Clinical knowledge-guided deep reinforcement learning for sepsis antibiotic dosing recommendations
Extending the boundaries of cancer therapeutic complexity with literature text mining
SpineCLUE: Automatic vertebrae identification using contrastive learning and uncertainty estimation
Process mining and data mining applications in the domain of chronic diseases: A systematic review
Adaptive systems and hybrid computational intelligence in medicine
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression
A four stage approach for ontology-based health information system design
Learning temporal probabilistic causal models from longitudinal data
Approaching the axiomatic enrichment of the Gene Ontology from a lexical perspective
Lesion-attention pyramid network for diabetic retinopathy grading
Personal sleep pattern visualization using sequence-based kernel self-organizing map on sound data
Automated detection of dynamical change in EEG signals based on a new rhythm measure
Information technology factors in transferability of knowledge based systems in medicine
Confidentiality issues for medical data miners
Predicting carcinoid heart disease with the noisy-threshold classifier
Deep Reinforcement Learning for personalized diagnostic decision pathways using Electronic Health Records: A comparative study on anemia and Systemic Lupus Erythematosus
Multiple signal integration by decision tree induction to detect artifacts in the neonatal intensive care unit
Knowledge graph assisted end-to-end medical dialog generation
Label-independent framework for objective evaluation of cosmetic outcome in breast cancer
Detecting masses in dense breast using independent component analysis
Constructing explanatory process models from biological data and knowledge
Refining instructional text generation after evaluation
Specification of models in large expert systems based on causal probabilistic networks
Wearable computing and artificial intelligence for healthcare applications
Activities suggestion based on emotions in AAL environments
Normal and pathological gait classification LSTM model
BIGPN: Biologically informed graph propagational network for plasma proteomic profiling of neurodegenerative biomarkers
Gait characteristics and clinical relevance of hereditary spinocerebellar ataxia on deep learning
Computer model for gait assessments in Parkinson's patients using a fuzzy inference model and inertial sensors
An end-to-end tracking method for polyp detectors in colonoscopy videos
QENNA: A quantum-enhanced neural network for early Alzheimer's detection using magnetic resonance imaging
Diagnosing congenital heart defects using the Fallot computational model
A fuzzy cognitive map approach to differential diagnosis of specific language impairment
Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers
Use of data abstraction methods to simplify monitoring
Automated assessment of myocardial SPECT perfusion scintigraphy: A comparison of different approaches of case-based reasoning
Assessing the feasibility of a mobile health-supported clinical decision support system for nutritional triage in oncology outpatients using Arden Syntax
A pilot study of distributed knowledge management and clinical decision support in the cloud
Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging data
A hybrid deep learning approach for gland segmentation in prostate histopathological images
A progressive deep wavelet cascade classification model for epilepsy detection
Adaptation of machine translation for multilingual information retrieval in the medical domain
Local binary patterns variants as texture descriptors for medical image analysis
A novel methodology for head and neck carcinoma treatment stage detection by means of model checking
Recommendations for the ethical use and design of artificial intelligent care providers
Machine learning algorithms to predict outcomes in children and adolescents with COVID-19: A systematic review
Computer-aided small bowel tumor detection for capsule endoscopy
Extract critical factors affecting the length of hospital stay of pneumonia patient by data mining (case study: an Iranian hospital)
Multiple mask and boundary scoring R-CNN with cGAN data augmentation for bladder tumor segmentation in WLC videos
ADHD classification using auto-encoding neural network and binary hypothesis testing
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation
A review of AI and Data Science support for cancer management
A machine learning-based approach to prognostic analysis of thoracic transplantations
Medical data mining by fuzzy modeling with selected features
A diagnostic room for lower limb amputee based on virtual reality and an intelligent space
Automated ICD-10 code assignment of nonstandard diagnoses via a two-stage framework
Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain
Estimating age and gender from electrocardiogram signals: A comprehensive review of the past decade
The qualitative criticism of circulatory models via bipartite teleological analysis
DeepMNF: Deep Multimodal Neuroimaging Framework for Diagnosing Autism Spectrum Disorder
An arrhythmia classification system based on the RR-interval signal
Tackling heterogeneity in medical federated learning via aligning vision transformers
Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer
Extraction of diagnostic rules using recursive partitioning systems: A comparison of two approaches
Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks
Leveraging Wikipedia knowledge to classify multilingual biomedical documents
Anatomical prior-based vertebral landmark detection for spinal disorder diagnosis
A self-training teacher-student model with an automatic label grader for abdominal skeletal muscle segmentation
Neural network assisted cardiac auscultation
Radiology report generation with medical knowledge and multilevel image-report alignment: A new method and its verification
Radiology report generation for proximal femur fractures using deep classification and language generation models
PROLOG. Fortgeschrittene programmiertechniken: Leon Sterling and Ehud Shapiro, (Addison-Wesley Publishing Company, Bonn, 1988) XXVII + 468 pp., 70 figures, hardcover, DM 78.00
A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment
Medical visual question answering: A survey
Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach
A mixed-ensemble model for hospital readmission
The computer and the brain: Perspectives on human and artificial intelligence : Jean R. Brink, C. Roland Haden, eds., Chritopher Burawa, assistant ed., (North-Holland, Amsterdam, 1989) XVI + 263 pp., 38 figures, hardcover, US $ 58.00
Advancing health coaching: A comparative study of large language model and health coaches
GAIT-ER-AID: An expert system for diagnosis of human gait
Identifying regulatory relationships among genomic loci, biological pathways, and disease
Topic-informed neural approach for biomedical event extraction
Evolutionary computation in medicine: an overview
PhenoLinker: Phenotype-gene link prediction and explanation using heterogeneous graph neural networks
DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time
Multilabel classification of medical concepts for patient clinical profile identification
Data mining for the study of disease genes and proteins
A model for integrating image processing into decision aids for diagnostic radiology
Ontology for assessment studies of human-computer-interaction in surgery
Editorial: Medical expertext
A k-mer-based barcode DNA classification methodology based on spectral representation and a neural gas network
Smiling difficulties in Alzheimer's disease linked to reduced nucleus accumbens and pallidum brain volume: Deep learning insights
Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
A decision support system for Crithidia Luciliae image classification
A novel multi-objective medical feature selection compass method for binary classification
Artificial intelligence in medicine AIME'07
A framework for distributed mediation of temporal-abstraction queries to clinical databases
An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images
Machine learning for medical diagnosis: history, state of the art and perspective
An implicit approach to deal with periodically repeated medical data
Corrigendum to "A computer vision framework for finger-tapping evaluation in Parkinson's disease" [Artif. Intell. in Medicine 60 (2014) 27-40]
Temporal reasoning in medicine
Machine learning techniques in early screening for gastric and oesophageal cancer
A rapid review of machine learning approaches for telemedicine in the scope of COVID-19
Identification of transcription factors that may reprogram lung adenocarcinoma
A hybrid tabu search algorithm for automatically assigning patients to beds
Fuzzy set theory in medicine
Recommendations for enhancing the usability and understandability of process mining in healthcare
A new approach to predicting mortality in dialysis patients using sociodemographic features based on artificial intelligence
Enhancing systematic reviews: An in-depth analysis on the impact of active learning parameter combinations for biomedical abstract screening
Home monitoring using wearable radio frequency transmitters
Modified tabu search approach for variable selection in quantitative structure-activity relationship studies of toxicity of aromatic compounds
Intelligent data analysis in medicine - Recent advances
The social phenotype: Extracting a patient-centered perspective of diabetes from health-related blogs
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines
Diabetic retinopathy techniques in retinal images: A review
The role of medical smartphone apps in clinical decision-support: A literature review
A prior knowledge-supervised fusion network predicts survival after radiotherapy in patients with advanced gastric cancer
Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model
Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumors
Automatic documentation of professional health interactions: A systematic review
Analysing and improving the diagnosis of ischaemic heart disease with machine learning
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review
Investigating subsumption in SNOMED CT: An exploration into large description logic-based biomedical terminologies
A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service
Ontological foundations for biomedical sciences
B2E-CDG: Conditional diffusion-based for label-free OCT angiography artifact removal and robust vascular reconstruction
Estimating sparse functional connectivity networks via hyperparameter-free learning model
Computerised anaesthesia monitoring using fuzzy trend templates
Evidence of the benefits, advantages and potentialities of the structured radiological report: An integrative review
An EEG-based functional connectivity measure for automatic detection of alcohol use disorder
Adaptive ventilator FiO2 advisor: use of non-invasive estimations of shunt
An optimized experimental protocol based on neuro-evolutionary algorithms: Application to the classification of dyspeptic patients and to the prediction of the effectiveness of their treatment
Clinical decision-support for diagnosing stress-related disorders by applying psychophysiological medical knowledge to an instance-based learning system
Learning an expandable EMR-based medical knowledge network to enhance clinical diagnosis
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score
Visualization and interactive analysis of blood parameters with InfoZoom
Out of hours workload management: Bayesian inference for decision support in secondary care
A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification
Protein fold recognition based on sparse representation based classification
Clinical decision support systems at the Vienna General Hospital using Arden Syntax: Design, implementation, and integration
Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions
Updating Markov models to integrate cross-sectional and longitudinal studies
Implementation of artificial intelligence approaches in oncology clinical trials: A systematic review
Integrating case-based reasoning with an electronic patient record system
META-GLARE: A meta-system for defining your own computer interpretable guideline system - Architecture and acquisition
Vulnerability of pangolin SARS-CoV-2 lineage assignment to adversarial attack
Large scale gene set ranking for survival-related gene sets
Ontology development for unified traditional Chinese medical language system
Predicting the effectiveness of hydroxyurea in individual sickle cell anemia patients
Quantitative prediction of MHC-II binding affinity using particle swarm optimization
Comparing the accuracy of syndrome surveillance systems in detecting influenza-like illness: GUARDIAN vs. RODS vs. electronic medical record reports
On-line quality [corrected] assurance in the initial definitive management of multiple trauma: evaluating system potential
A model-free ensemble method for class prediction with application to biomedical decision making
Improving medical protocols by formal methods
Classification tree modeling to identify severe and moderate vehicular injuries in young and middle-aged adults
A theoretical approach to artificial intelligence systems in medicine
Knowledge discovery approach to automated cardiac SPECT diagnosis
An intelligent non-invasive system for automated diagnosis of anemia exploiting a novel dataset
Computerized analysis of pigmented skin lesions: A review
Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach
Investigation of synonym expansion and self-alignment pretraining for enhancing Human Phenotype Ontology concept recognition
Artificial intelligence in medicine and medical decision making Europe
Integrating regression formulas and kernel functions into locally adaptive knowledge-based neural networks: A case study on renal function evaluation
Detecting 'wrong blood in tube' errors: Evaluation of a Bayesian network approach
How to identify and treat data inconsistencies when eliciting health-state utility values for patient-centered decision making
Characterization of medical time series using fuzzy similarity-based fractal dimensions
Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service
Fuzzy logic in a patient supervision system
Prediction of intraoperative complexity from preoperative patient data for laparoscopic cholecystectomy
A computational model to protect patient data from location-based re-identification
CareVis: Integrated visualization of computerized protocols and temporal patient data
NewsMeSH: A new classifier designed to annotate health news with MeSH headings
Ultra-fast ultrasound blood flow velocimetry for carotid artery with deep learning
Temporal similarity measures for querying clinical workflows
Case-based reasoning: opportunities and applications in health care
Using quantitative and qualitative constraints in models of cardiac electrophysiology
Morphometric analysis of brain images with reduced number of statistical tests: A study on the gender-related differentiation of the corpus callosum
Detection of bladder cancer with feature fusion, transfer learning and CapsNets
Preprocessing narrative texts in electronic medical records to identify hospital adverse events: A scoping review
Automatically analyzing a steadily beating ventricle's iterative behavior over time
Automated hematoma segmentation and outcome prediction for patients with traumatic brain injury
Breast ultrasound region of interest detection and lesion localisation
Systematic literature review on reinforcement learning in non-communicable disease interventions
Situated cognition in clinical visualization: The role of transparency in GammaKnife neurosurgery planning
Expert systems architectures: L. Johnson and E.T. Keravnou: Kogan Page Ltd., London, 1988, £ 25.00
A token centric part-of-speech tagger for biomedical text
Model-based analysis of myocardial strain data acquired by tissue Doppler imaging
Cue-based assertion classification for Swedish clinical text - Developing a lexicon for pyConTextSwe
Dynamic decision support graph - Visualization of ANN-generated diagnostic indications of pathological conditions developing over time
Non-linear temporal scaling of surgical processes
Sleep stage classification for child patients using DeConvolutional Neural Network
ECG synthesis for cardiac arrhythmias: Integrating self-supervised learning and generative adversarial networks
Visually defining and querying consistent multi-granular clinical temporal abstractions
Personalized conciliation of clinical guidelines for comorbid patients through multi-agent planning
Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl
On macroeconomic characteristics of pharmaceutical generics and the potential for manufacturing and consumption under fuzzy conditions
Identifying β -thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine
Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals
Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment
Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review
From an expert-driven paper guideline to a user-centred decision support system: A usability comparison study
SSM-Net: Semi-supervised multi-task network for joint lesion segmentation and classification from pancreatic EUS images
Probabilistic domain-knowledge modeling of disorder pathogenesis for dynamics forecasting of acute onset
Automating the knowledge acquisition process in the construction of medical expert systems
Enhancing Autism Spectrum Disorder identification in multi-site MRI imaging: A multi-head cross-attention and multi-context approach for addressing variability in un-harmonized data
Personalized oncology with artificial intelligence: The case of temozolomide
Segmentation of nerve fibers using multi-level gradient watershed and fuzzy systems
A wearable sensor system for medication adherence prediction
Modeling surgical processes: A four-level translational approach
Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning
Evolutionary-driven support vector machines for determining the degree of liver fibrosis in chronic hepatitis C
FooDis: A food-disease relation mining pipeline
The representation of medical reasoning models in resolution-based theorem provers
How do we talk about doctors and drugs? Sentiment analysis in forums expressing opinions for medical domain
Heart disease diagnosis based on mediative fuzzy logic
Effective gene expression data generation framework based on multi-model approach
Data structure-guided development of electrocardiographic signal characterization and classification
Knowledge-based verification of clinical guidelines by detection of anomalies
Arden Syntax: Then, now, and in the future
Retinal image assessment using bi-level adaptive morphological component analysis
Knowledge-based information management in intensive care and anesthesia
RobustEMD: Domain robust matching for cross-domain few-shot medical image segmentation
Reprint of "Updating Markov models to integrate cross-sectional and longitudinal studies"
Brain gray matter nuclei segmentation on quantitative susceptibility mapping using dual-branch convolutional neural network
Exploring the relationship between rationality and bounded rationality in medical knowledge-based systems
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)