yusuke1997/dblp-id-title huggingface dataset:
Discriminant Audio Properties in Deep Learning Based Respiratory Insufficiency Detection in Brazilian Portuguese
fMRI Multiple Missing Values Imputation Regularized by a Recurrent Denoiser
Oncology Ontology in the NCI Thesaurus
Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs
Diagnosis of Iron-Deficiency Anemia in Hemodialyzed Patients through Support Vector Machines Technique
A Rule-Based Expert System for Automatic Implementation of Somatic Variant Clinical Interpretation Guidelines
Knowledge-Based Patient Data Generation
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
Monitoring Quality of Life Indicators at Home from Sparse, and Low-Cost Sensor Data
A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile
Learning Concept-Driven Document Embeddings for Medical Information Search
Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools
Exploring the Possibility of Arrhythmia Interpretation of Time Domain ECG Using XAI: A Preliminary Study
The Application of Distributed Artificial Intelligence to Medical Diagnosis
An Approach for Query-Focused Text Summarisation for Evidence Based Medicine
Identification of Patient Prescribing Predicting Cancer Diagnosis Using Boosted Decision Trees
Modelling a Sharable Medical Concept System: Ontological Foundation in GALEN
Convolutional Recurrent Neural Network for Bubble Detection in a Portable Continuous Bladder Irrigation Monitor
Explainable Machine Learning for Neonatal Screening: A Fast&Frugal Decision Tree for Rare Metabolic Disease Detection
A Hybrid Methodology for Consumer-Oriented Healthcare Knowledge Acquisition
Automated Revision of Expert Rules for Treating Acute Abdominal Pain in Children
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
Evaluation of Encoder-Decoder Architectures for Automatic Skin Lesion Segmentation
Controlling Level of Unconsciousness by Titrating Propofol with Deep Reinforcement Learning
A Reinforcement Learning Framework for Optimizing Kidney Allocation for Transplant Based on Survival and Ethical Criteria
Towards a Pathway-Based Clinical Cancer Registration in Hospital Information Systems
Learning Formal Definitions for Snomed CT from Text
Analysing Clinical Guidelines' Contents with Deontic and Rhetorical Structures
TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts
Constructing Disease-Centric Knowledge Graphs: A Case Study for Depression (short Version)
Conformal Prediction for ECG Interpretation: A Study on Human-AI Collaboration in Clinical Decision Support
Ontology-Based Reengineering of the SNOMED CT Context Model
Towards Precision Medicine with Infrared Molecular Profiles: Identifying and Explaining Subgroups
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students
Automatic Verbalisation of SNOMED Classes Using OntoVerbal
PGHDProvO: Provenance Based Ontology for Sharing Patient Generated Health Data (PGHD) with an Electronic Health Record (EHR)
Classifying Alarms in Intensive Care - Analogy to Hypothesis Testing
Mealtime Blood Glucose Classifier Based on Fuzzy Logic for the DIABTel Telemedicine System
Automatic Landmarking of Cephalograms by Cellular Neural Networks
On Predicting the Outcomes of Chemotherapy Treatments in Breast Cancer
Batch Integrated Gradients: Explanations for Temporal Electronic Health Records
Analyzing Recommendations Interactions in Clinical Guidelines - Impact of Action Type Hierarchies and Causation Beliefs
fMRI Analysis for Alzheimer's Disease Detection: Traditional vs. Deep Learning Models
A Component-Based Architecture for Automation of Protocol-Directed Therapy
Understanding the Co-occurrence of Diseases Using Structure Learning
An Ontology-Based Method to Link Database Integration and Data Mining within a Biomedical Distributed KDD
A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data
Anonymisation of Swedish Clinical Data
CARDSS: Development and Evaluation of a Guideline Based Decision Support System for Cardiac Rehabilitation
Improved Allergy Wheal Detection for the Skin Prick Automated Test Device
The FMA in OWL 2
Sequence-Model-Based Medication Extraction from Clinical Narratives in German
Multi-scale Temporal Memory for Clinical Event Time-Series Prediction
Automating the Calibration of a Neonatal Condition Monitoring System
Decision Models for Cost-Effectiveness Analysis: A Means for Knowledge Sharing and Quality Control in Health Care Multidisciplinary Tasks
Evaluating a Neural Network Decision-Support Tool for the Diagnosis of Breast Cancer
Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines
Identifying Factors Associated with COVID-19 All-Cause 90-Day Readmission: Machine Learning Approaches
Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System
Early Detection and Classification of Patient-Ventilator Asynchrony Using Machine Learning
Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens
From Natural Language Descriptions in Clinical Guidelines to Relationships in an Ontology
Characterizing Health-Related Information Needs of Domain Experts
Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors
TIME-NESIS: A Data Model in Managing Time Granularity of Natural-Language Clinical Information
Improving Probabilistic Interpretation of Medical Diagnoses with Multi-resolution Image Parameterization: A Case Study
Design Patterns for Modelling Guidelines
Unsupervised Documents Categorization Using New Threshold-Sensitive Weighting Technique
Three-Dimensional Latent Diffusion Model for Weakly-Supervised Brain Tumour Segmentation
Minimizing Survey Questions for PTSD Prediction Following Acute Trauma
Computing Problem Oriented Medical Records
On the Evaluation of Probabilistic Networks
A Method for Goal-Oriented Guideline Modeling in PROforma and Its Preliminary Evaluation
Mining Surgery Phase-Related Sequential Rules from Vertebroplasty Simulations Traces
Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features
The Impact of Synthetic Data on Fall Detection Application
Machine Learning in Data Rich Domains: Some Experiences from the KAVAS Project
Rhetorical Coding of Health Promotion Dialogues
Mammographic Knowledge Representation in Description Logic
Probabilistic Networks as Probabilistic Forecasters
Depth-Four Threshold Circuits for Computer-Assisted X-ray Diagnosis
An Experiment Environment for Definition, Training and Evaluation of Electrocardiogram-Based AI Models
How to Represent Medical Ontologies in View of a Semantic Web?
Inference in the Promedas Medical Expert System
An Information-Based Bayesian Approach to History Taking
Skin Hair Removal in Dermoscopic Images Using Soft Color Morphology
Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes
What BPM Technology Can Do for Healthcare Process Support
Temporal Data Mining with Temporal Constraints
Literature Mining: Towards Better Understanding of Autism
A Framework for Multi-class Learning in Micro-array Data Analysis
Ranking and 1-Dimensional Projection of Cell Development Transcription Profiles
A Society of Goal-Oriented Agents for the Analysis of Living Cells
Perspectives on Assurance Case Development for Retinal Disease Diagnosis Using Deep Learning
BAT: A Toolkit for Biomedical Text Augmentation
Knowledge Discovery from a Breast Cancer Database
On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information
Towards the Formalization of Guidelines Care Actions Using Patterns and Semantic Web Technologies
Automatic Image-Derived Estimation of the Arterial Whole-Blood Input Function from Dynamic Cerebral PET with ^18 F-Choline
Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS
AI-Based Mobile App for Segmentation and Tissue Classification on Diabetic Foot Ulcer: A Step Forward in Patient Care
GraphNet: A Novel Method Based on Graph Neural Networks for Emergency Healthcare Management
Therapy Planning by Combining Ai and Decision Theoretic Techniques
Segmentation Techniques for Automatic Region Extraction: An Application to Aphasia Rehabilitation
A Platform for Targeting Cost-Utility Analyses to Specific Populations
Translating Biomedical Terms by Inferring Transducers
Building Medical Ontologies Based on Terminology Extraction from Texts: Methodological Propositions
Cordelia: An Application for Automatic ECG Diagnostics
Implementation and Evaluation of a Knowledge-Based System for the Interpretation of Laboratory Data
Automatic Derivation of a Decision Tree to Represent Guideline-Based Therapeutic Strategies for the Management of Chronic Diseases
Inductively Learned Rule for Breast Cancer Domain with Improved Interobserver Reproductibility
Detection of ADHD from ECG Signals via Deep Learning-Based Feature Extraction
ProCarSur: A System for Dynamic Prognostic Reasoning in Cardiac Surgery
Ontology for Task-Based Clinical Guidelines and the Theory of Granular Partitions
Artificial Intelligence in Medicine - 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25-28, 2020, Proceedings
Clinical Time Series Prediction with a Hierarchical Dynamical System
Towards Distributed Process Discovery in Healthcare: Testing and Proving the Feasibility of the Federated Alpha+ Algorithm
Multiple Terminologies in a Health Portal: Automatic Indexing and Information Retrieval
Multi-resolution Image Parametrization in Stepwise Diagnostics of Coronary Artery Disease
The Clinical Spectrum of Decision-Support in Oncology with a Case Report of a Real World System
A Patient Simulation Model Based on Decision Tables for Emergency Shocks
Ontology Mapping: A Way Out of the Medical Tower of Babel?
Wound Care: A Palm Pilot-Based Expert System for the Treatment of Pressure Ulcers
A Knowledge Graph Completion Method Applied to Literature-Based Discovery for Predicting Missing Links Targeting Cancer Drug Repurposing
Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development
Modelling and Knowledge (Re)presentation within HIOS+
Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record
Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation
One Telemedical Solution in Bulgaria
Identifying Chemotherapy Regimens in Electronic Health Record Data Using Interval-Encoded Sequence Alignment
Using AI to Improve Diagnosis and Treatment of Rare Diseases: A Chat Agent for Equitable and Accessible Healthcare
Physiological modelling using RL
A Computational Framework Towards Medical Image Explanation
Surgical Instrument Segmentation and Self-Supervised Monocular Depth Estimation in Minimally Invasive Surgery: A Multi-task Learning Approach
A Systematic Analysis of Medical Decisions: How to Store Knowledge and Experience in Decision Tables
Systematic Construction of Texture Features for Hashimoto's Lymphocytic Thyroiditis Recognition from Sonographic Images
Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications
An Analysis of Twitter Data on E-cigarette Sentiments and Promotion
Experiences in the Formalisation and Verification of Medical Protocols
Developing a Decision-Theoretic Network for a Congenital Heart Disease
Domain-Adversarial Neural Networks to Explore Biases in the Diagnosis of Multiple Eye Conditions from Fundus Image Data
Linking Clinical Guidelines with Formal Representations
Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
Similarity Measuring between Patient Traces for Clinical Pathway Analysis
Clinical Time Series Data Analysis Using Mathematical Models and DBNs
False Positive Reduction in Detector Implantation
Making Reliable Diagnoses with Machine Learning: A Case Study
Analysis of Viability of TCGA and GTEx Gene Expression for Gleason Grade Identification
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets
ML-EvalPro: Machine Learning Evaluation Profiler for Supervised Tasks
The PERISCOPE Data Atlas: A Demonstration of Release v1.2
Implementation of a System for Intelligent Summarization of Longitudinal Clinical Records
Risk Assessment for Primary Coronary Heart Disease Event Using Dynamic Bayesian Networks
A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks
An AI-Driven Predictive Modelling Framework to Analyze and Visualize Blood Product Transactional Data for Reducing Blood Products' Discards
A Boxology-Based Analysis of Design Patterns for Neuro-Symbolic Medical Decision Making Systems
Temporal Scenario Recognition for Intelligent Patient Monitoring
Relation Mining over a Corpus of Scientific Literature
Modeling Clinical Guidelines through Petri Nets
Towards Understanding ICU Treatments Using Patient Health Trajectories
Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies
A PC-Based Decision Support/Patient Management System for Thyroid Disease
Medical Analysis of Automatically Induced Diagnostic Rules
Role-Play Large Language Models for Short Behavior Change Interventions: An Exploratory Study on Brief Action Planning
A Collaborative Learning Approach for Fairness in Prediction of Substance Use Disorder Treatment Completion
Generating Novel Linker Structures in Antibody-Drug Conjugates with Diffusion Models
Learning Decision Tree for Selecting QRS Detectors for Cardiac Monitoring
Managing Theoretical Single-Disease Guideline Recommendations for Actual Multiple-Disease Patients
Building Medical Dictionaries for Patient Encoding Systems: A Methodology
Improving Stroke Trace Classification Explainability Through Counterexamples
An Architecture for Automated Reasoning Systems for Genome-Wide Studies
A Theoretical Framework for Decision Trees in Uncertain Domains: Application to Medical Data Sets
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images
Local vs. Global Interpretability of Machine Learning Models in Type 2 Diabetes Mellitus Screening
Accurate Bayesian Prediction of Cardiovascular-Related Mortality Using Ambulatory Blood Pressure Measurements
Merging Disease-Specific Clinical Guidelines to Handle Comorbidities in a Clinical Decision Support Setting
A Novel Way of Incorporating Large-Scale Knowledge into MRF Prior Model
Knowledge Acquisition from a Medical Corpus: Use and Return on Experiences
A User Interface for Executing Asbru Plans
TAME - Time Resourcing in Academic Medical Environments
Computational Evaluation of Model-Agnostic Explainable AI Using Local Feature Importance in Healthcare
MRI Brain Cancer Image Detection: Application of an Integrated U-Net and ResNet50 Architecture
Supervised Pectoral Muscle Removal in Mammography Images
Pursuing Optimal Prediction of Discharge Time in ICUs with Machine Learning Methods
A Composite Model for Classifying Parotid Shrinkage in Radiotherapy Patients Using Heterogeneous Data
Bayesian Network vs. Cox's Proportional Hazard Model of PAH Risk: A Comparison
Design of a generic information system and its application to Primary Care
Detection of Junctional Ectopic Tachycardia by Central Venous Pressure
Outlier Detection for GP Referrals in Otorhinolaryngology
BERT for Complex Systematic Review Screening to Support the Future of Medical Research
A Neural Support to the Prognostic Evaluation of Cardiac Surgery
Data-Driven Demo Application for Adolescent Mental Health Screening with Decision Support
An Experiment in Automatic Classification of Pathological Reports
Conceptual Modeling of Clinical Pathways: Making Data and Processes Connected
An Archetype-Based Solution for the Interoperability of Computerised Guidelines and Electronic Health Records
Enhancing Conventional Web Content with Intelligent Knowledge Processing
Management of Patient and Physician Preferences and Explanations for Participatory Evaluation of Treatment with an Ethical Seal
Providing Objective Feedback on Skill Assessment in a Dental Surgical Training Simulator
Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011. Proceedings
Speech Interfaces for Point-of-Care Guideline Systems
Proceedings of the First International Workshop on Improving Healthcare with Small Language Models co-located with 23rd International Conference on Artificial Intelligence in Medicine, SLM4Health@AIME 2025, Pavia, Italy, June 26, 2025
Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports
An Approach to Analysis of Qualitative Data with Insufficient Number of Quantization Levels
Artificial Intelligence in Medicine, 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings
A Bayesian Network for Probabilistic Reasoning and Imputation of Missing Risk Factors in Type 2 Diabetes
Analysis of EEG Epileptic Signals with Rough Sets and Support Vector Machines
Automatic Retrieval of Web Pages with Standards of Ethics and Trustworthiness Within a Medical Portal: What a Page Name Tells Us
Multi-task Learning on Tabular Health Checkup Data for Prediction of Lifestyle-Related Diseases
Seasonality in Infection Predictions Using Interpretable Models for High Dimensional Imbalanced Datasets
Using Constraint Logic Programming for the Verification of Customized Decision Models for Clinical Guidelines
Planning and Scheduling Patient Tests in Hospital Laboratories
Physics of the Medical Record: Handling Time in Health Record Studies
Evaluating the TMR Model for Multimorbidity Decision Support Using a Community-of-Practice Based Methodology
Knowledge-Based Trace Abstraction for Semantic Process Mining
Learning to Adapt Dynamic Clinical Event Sequences with Residual Mixture of Experts
Explanations in Digital Health: The Case of Supporting People Lifestyles
AI Planning Technology as a Component of Computerised Clinical Practice Guidelines
Improving the Performance of Melanoma Detection in Dermoscopy Images Using Deep CNN Features
The Role of Biomedical Dataset in Classification
Differential Diagnosis of Bacterial and Viral Meningitis Using Dominance-Based Rough Set Approach
Patient Event Sequences for Predicting Hospitalization Length of Stay
Web-Based Querying and Temporal Visualization of Longitudinal Clinical Data
TransICD: Transformer Based Code-Wise Attention Model for Explainable ICD Coding
Leveraging Multi-agent Systems for Domain-Pertinence Query Classification in Informative Chatbots
Intelligent Configuration of Social Support Networks Around Depressed Persons
AI Models Predicting Methylation Status from DNA Sequence: What is Missing?
Predicting Clinical Diagnosis from Patients Electronic Health Records Using BERT-Based Neural Networks
A qualitative model of iron metabolism
Generating Symbolic and Natural Language Partial Solutions for Inclusion in Medical Plans
Interactive Decision Support for Medical Planning
Machine Learning Techniques for Decision Support in Anesthesia
Bodily Systems and the Modular Structure of the Human Body
Using Description Logics for Managing Medical Terminologies
Exploring Large Language Model Reasoning Capabilities Over Personal Health Data
Improving Clinical Guideline Implementation Through Prototypical Design Patterns
Automated Phenotype-Based Clustering of Clinical Reports Using Large Language Models
Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients
A Preliminary Investigation into the Analysis of Electromyographic Activity Using a System of Multiple Neural Networks
A Connectionist Aid to the Early Diagnosis of Myocardial Infarction
Consensus Modeling: A Transfer Learning Approach for Small Health Systems
ELMTEX: Fine-Tuning LLMs for Structured Clinical Information Extraction. A Case Study on Clinical Reports
On Graph Construction for Classification of Clinical Trials Protocols Using Graph Neural Networks
Rule-Based Formalization of Eligibility Criteria for Clinical Trials
Clinical Outcome Measurement Scales: A Domain Ontology and a Use Case for Stroke Rehabilitation
FSLearning: An Efficient Federated Split Learning Framework for Privacy-Preserving Disease Prediction
Task Network Based Modeling, Dynamic Generation and Adaptive Execution of Patient-Tailored Treatment Plans Based on Smart Process Management Technologies
Blockchain and IoT Enhanced Clinical Workflow
Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure
Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26-29, 2019, Proceedings
Analysis of Health Screening Records Using Interpretations of Predictive Models
User-Adapted Multimedia Explanations in a Clinical Guidelines Consultation System
A Dual-Layer Architecture for the Protection of Medical Devices from Anomalous Instructions
Attribute Interactions in Medical Data Analysis
Self-supervised Segment Contrastive Learning for Medical Document Representation
A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors
Counterfactual Inference Using Ordinary Differential Equations to Assess the Effect of Physical Activity on Type 2 Diabetes Onset
The Role of Model Checking in Critiquing Based on Clinical Guidelines
Explainable Machine Learning for Modeling of Early Postoperative Mortality in Lung Cancer
GLM-CDS: A Standards-Based Verifiable Guideline Model for Decision Support in Clinical Applications
Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage
Which Kind of Knowledge Is Suitable for Redesigning Hospital Logistic Processes?
Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient-Centered Outcomes
MRF Agent Based Segmentation: Application to MRI Brain Scans
Exploiting OWL Reasoning Services to Execute Ontologically-Modeled Clinical Practice Guidelines
A Cautionary Tale on Using Covid-19 Data for Machine Learning
Neural Clinical Event Sequence Prediction Through Personalized Online Adaptive Learning
Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization
The Impact of Bias on Drift Detection in AI Health Software
Using Formal Concept Analysis to Discover Patterns of Non-compliance with Clinical Practice Guidelines: A Case Study in the Management of Breast Cancer
Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs
Predicting Length of Stay in Geriatric Patients Using an Ensemble Learning Method
An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications
Text-to-Movie Authoring of Anatomy Lessons
Knowledge-Based Education Tool to Improve Quality in Diabetes Care
Cytotoxic Chemotherapy Monitoring Using Stochastic Simulation on Graphical Models
Causal Networks of Infodemiological Data: Modelling Dermatitis
Decision Making System Based on Bayesian Network for an Agent Diagnosing Child Care Diseases
Modelling Time-Series of Glucose Measurements from Diabetes Patients Using Predictive Clustering Trees
Integrating Multimodal Patient Data into Attention-Based Graph Networks for Disease Risk Prediction
Detecting New Evidence for Evidence-Based Guidelines Using a Semantic Distance Method
Rule-Based Labeling of CT Head Image
Deep Learning Approaches for Prediction of Mental and Physical Deterioration During Chemotherapy
Using LSTM-Based Model on Vocal Signal Analysis for the Classification of Multiple Sclerosis