yusuke1997/dblp-id-title huggingface dataset:
Attributed Conditional Rewriting Systems as a Tool for ECG Description and Interpretation
A Multi-task LSTM Framework for Improved Early Sepsis Prediction
Medical Knowledge Representation and Predictive Data Entry
A Theory of Medical Diagnosis as Hypothesis Refinement
Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part II
A Case-Based Reasoning Method for Computer-Assisted Diagnosis in Histopathology
The Impact of Data Augmentation on Time Series Classification Models: An In-Depth Study with Biomedical Data
An Anytime Querying Algorithm for Predicting Cardiac Arrest in Children: Work-in-Progress
The Transition Law of Sepsis Patients' Illness States Based on Complex Network
Unsupervised Deep Embedded Clustering Reveals High-Risk Subgroups for Alzheimer's Disease
Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation
A Data-Driven Exploration of Hypotheses on Disease Dynamics
Estimation of Sleep Quality by Using Microstructure Profiles
Careflow Planning: From Time-Annotated Clinical Guidelines to Temporal Hierarchical Task Networks
A Novel Multilingual Report Generation System for Medical Applications
Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors
Physics-Informed Neural Networks for Hidden Insulin Dynamics Estimation from Glucose Data
Coronary Heart Disease Patient Models Based on Inductive Machine Learning
Learning Rules from Multisource Data for Cardiac Monitoring
The Minimum Sampling Rate and Sampling Duration When Applying Geolocation Data Technology to Human Activity Monitoring
Implicit Learning System for Teaching the Art of Acute Cardiac Infarction Diagnosis
Generated Critic in the Knowledge Based Neurology Trainer
Segmentation of Text and Non-text in On-Line Handwritten Patient Record Based on Spatio-Temporal Analysis
Towards an AI Planning-Based Pipeline for the Management of Multimorbid Patients
Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization
LLM-Enriched Finite-State Chatbots for Mental Health Support: A Case Study on Self-Help+
On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer
GAUSS: A Generalised Approach to Updating Scanner Strategies
Explainable Decision Support Using Task Network Models in Notation3: Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks
Knowledge Acquisition Using Syntactic Time Patterns
Ecologically valid trials of elderly unobtrusive monitoring: analysis and first results
Evaluating Large Language Models for Depression Symptom Estimation
Awareness of Being Tested and Its Effect on Reading Behaviour
Predicting Intensive Care Unit Length of Stay in Pediatric Congenital Heart Disease Patients After Cardiac Surgery Using the Medic-BERT Model
A Health-Focused Risk Taxonomy for AI: Assessing Unsafe Content Detection with Small Language Models (SLMs)
Finding and Explaining Optimal Treatments
On Understanding and Assessing Feature Selection Bias
Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing
Mining Disease Progression Patterns for Advanced Disease Surveillance
An Adaptive Two-Tier Menu Approach to Support On-Line Entry of Diagnoses
An Evolutionary Divide and Conquer Method for Long-Term Dietary Menu Planning
MaCa: Mamba-Guided Causal Disentanglement for Breast Tumor Segmentation in Ultrasound Images
Radiotherapy Dose Optimization via Clinical Knowledge Based Reinforcement Learning
CAP: A Critiquing Expert System for Medical Education
Mining Temporal Constraint Networks by Seed Knowledge Extension
A Graph Neural Network Approach for Data-Driven Donor-Recipient Matching in Kidney Transplantation
Automatic Classification of Radiological Reports for Clinical Care
Knowledge Representation for Health Care - AIME 2015 International Joint Workshop, KR4HC/ProHealth 2015, Pavia, Italy, June 20, 2015, Revised Selected Papers
A Mobile Clinical Decision Support System for Clubfoot Treatment
Knowledge Management for Health Care Procedures, From Knowledge to Global Care, AIME 2007 Workshop K4CARE 2007, Amsterdam, The Netherlands, July 7, 2007, Revised Selected Papers
Choose Your Words Wisely: Domain-Adaptive Masking Makes Language Models Learn Faster
AI-Driven Identification of Subclinical Alcohol Use Disorder in Type 2 Diabetes Patients
HRVFrame: Java-Based Framework for Feature Extraction from Cardiac Rhythm
Modeling and Representation by Graphs of the Reasoning of an Emergency Doctor: Symptom Checker MedVir
Towards a Possibility-Theoretic Approach to Uncertainty in Medical Data Interpretation for Text Generation
NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research
Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System
An intelligent system for monitoring infections in heart transplant recipients
Survival Hierarchical Agglomerative Clustering: A Semi-Supervised Clustering Method Incorporating Survival Data
Detecting Mental Fatigue from Eye-Tracking Data Gathered While Watching Video
A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes
An Explanation Driven Architecture for a Knowledge Based System in Post-Operative Care
Generating Explanations of Pathophysiological Systems Behaviors from Qualitative Simulation of Compartmental Models
Detection of Infectious Outbreaks in Hospitals through Incremental Clustering
Testing Careflow Process Execution Conformance by Translating a Graphical Language to Computational Logic
Robots as Surgical Assistants: Wher We Are, Wither We Are Tending, and How to Get There
Connectionist models in medicine: an investigation of their potential
Data-Efficient Information-Theoretic Test Selection
Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies
Mammogram Classification with Ordered Loss
Collaborative Filtering for Estimating Health Related Utilities in Decision Support Systems
A 3-Window Framework for the Discovery and Interpretation of Predictive Temporal Functional Dependencies
A Multi-agent Planning Approach for the Generation of Personalized Treatment Plans of Comorbid Patients
AI-Driven Pathology Laboratory Utilization Management via Data- and Knowledge-Based Analytics
Predicting Kidney Transplant Survival Using Multiple Feature Representations for HLAs
Latent Argumentative Pruning for Compact MEDLINE Indexing
Experiences in the Development of Electronic Care Plans for the Management of Comorbidities
Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin's Disease
Formalizing 'Living Guidelines' Using LASSIE: A Multi-step Information Extraction Method
Wrist Ultrasound Segmentation by Deep Learning
Diagnosis Code Assignment Support Using Random Indexing of Patient Records - A Qualitative Feasibility Study
Extracting Adverse Drug Events from Text Using Human Advice
Interactive Knowledge Validation in CBR for Decision Support in Medicine
Extracting Specific Medical Data Using Semantic Structures
META-GLARE: A Meta-Engine for Executing Computer Interpretable Guidelines
Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal
Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support
Combining Decision Support System-Generated Recommendations with Interactive Guideline Visualization for Better Informed Decisions
Using a virtual environment to test a mobile app for the ambient assisted living
Adding Knowledge to Information Retrieval Systems in the World Wide Web
Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation
pMineR: An Innovative R Library for Performing Process Mining in Medicine
Modelling ICU Patients to Improve Care Requirements and Outcome Prediction of Acute Respiratory Distress Syndrome: A Supervised Learning Approach
Advancing LOINC Mapping with AI: Insights from LARA's RAG Implementation and Expert Evaluation
Automated Instance Segmentation of Peripheral Nerve Microscopy Images: A Novel Pipeline for Morphometric Analysis in Regenerative Medicine
A Framework for Building Cooperating Agents
Enhancing RAGs for Rheumatology Triage: Strategies for Optimized Knowledge Retrieval
Dichotomization of ICU Length of Stay Based on Model Calibration
Predicting Blood Glucose Levels with LMU Recurrent Neural Networks: A Novel Computational Model
A Probabilistic Graphical Model for Tuning Cochlear Implants
Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support
Integrating Clinical Decision Support System Development into a Development Process of Clinical Practice - Experiences from Dementia Care
Modelling the Impact of AI for Clinical Decision Support
Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems
Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series
A Similarity Measure Based on Care Trajectories as Sequences of Sets
A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Time Series with Application to Human Gait Data Analysis
Answer Set Programming for Temporal Conformance Analysis of Clinical Guidelines Execution
A Blackboard Control Architecture for Therapy Planning
Augmentation-Free Contrastive Learning for EKG Classification
Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change
Sharable Appropriateness Criteria in GLIF3 Using Standards and the Knowledge-Data Ontology Mapper
A New Approach to the Abstraction of Monitoring Data in Intensive Care
Hierarchical Dirichlét Learning - Filling in the Thin Spots in a Database
MitPlan 2.0: Enhanced Support for Multi-morbid Patient Management Using Planning
The Champollion Project: Automatic Structuration of Clinical Features from Medical Records
A Graph Based Raman Spectral Processing Technique for Exosome Classification
Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph
Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome
Attention-Based Explanation in a Deep Learning Model For Classifying Radiology Reports
Implementing Guidelines for Causality Assessment of Adverse Drug Reaction Reports: A Bayesian Network Approach
Use of a Conceptual Semi-Automatic ICD-9 Encoding System in a Hospital Environment
An Explainable Approach of Inferring Potential Medication Effects from Social Media Data
Medical Time-Series Data Generation Using Generative Adversarial Networks
Exploring Pre-trained Language Models for Vocabulary Alignment in the UMLS
Unsupervised Grammar Induction for Revealing the Internal Structure of Protein Sequence Motifs
Towards Health 4.0: e-Hospital Proposal Based Industry 4.0 and Artificial Intelligence Concepts
Artificial Intelligence in Medicine - 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29 - June 1, 2013. Proceedings
Multimedia Data Management to Assist Tissue Microarrays Design
Content Collection for the Labelling of Health-Related Web Content
AIME 89, Second European Conference on Artificial Intelligence in Medicine, London, UK, August 29th-31st 1989. Proceedings
A Case Study of Stacked Multi-view Learning in Dementia Research
CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration
Automatic Symptom Extraction from Texts to Enhance Knowledge Discovery on Rare Diseases
The Myth of Complete AI-Fairness
Text Categorization pror to Indexing for the CISMEF Health Catalogue
Change-Point Detection Method for Clinical Decision Support System Rule Monitoring
Reasoning with Effects of Clinical Guideline Actions Using OWL: AL Amyloidosis as a Case Study
Generalizability of AI Survival Models in the Context of Preterm Birth Prediction
Challenges in Evaluating Complex Decision Support Systems: Lessons from Design-a-Trial
Using Event-Based Web-Scraping Methods and Bidirectional Transformers to Characterize COVID-19 Outbreaks in Food Production and Retail Settings
Analysis of the GLARE and GPROVE Approaches to Clinical Guidelines
Explainable Artificial Intelligence for Cytological Image Analysis
A Methodology for Automated Extraction of the Optimal Pathways from Influence Diagrams
Biomedical Semantic Textual Similarity: Evaluation of Sentence Representations Enhanced with Principal Component Reduction and Word Frequency Weighting - Student Paper Submission
Comparing Machine-Learning Classifiers in Keratoconus Diagnosis from ORA Examinations
DECISion-Support System for Radiological Diagnostic
Methodology for the Design of Digital Brain Atlases
The Role of Clinical Judgment Analysis in the Development of Medical Expert Systems
Risk Mediation in Association Rules - The Case of Decision Support in Medication Review
An Application of Machine Learning in the Diagnosis of Ischaemic Heart Disease
Computerised Advice on Drug Dosage Decisions in Childhood Leukaemia: A Method and a Safety Strategy
Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation
Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics
Signature Recognition Methods for Identifying Influenza Sequences
Using Time-Oriented Data Abstraction Methods to Optimize Oxygen Supply for Neonates
Modelling Medical Concepts as Time-Objects
Semantic Web-Based Modeling of Clinical Pathways Using the UML Activity Diagrams and OWL-S
A Human-Machine Cooperative Approach for Time Series Data Interpretation
Is Crowdsourcing Patient-Reported Outcomes the Future of Evidence-Based Medicine? A Case Study of Back Pain
Automatic Identification of Intraretinal Cystoid Regions in Optical Coherence Tomography
Ontology Model for Supporting Process Mining on Healthcare-Related Data
Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text
Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction
A Co-occurrence Based MedDRA Terminology Generation: Some Preliminary Results
Prediction of Mechanical Lung Parameters Using Gaussian Process Models
Explainable AI for Fair Sepsis Mortality Predictive Model
Multi-level Interactive Medical Process Mining
Integrated use of causal and algebraic physiological models to support anaesthetists in decision making
Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities
Integration of Infrared Molecular Fingerprinting Data in a Longitudinal Health Profiling Cohort
Explaining Anomalous Responses to Treatment in the Intensive Care Unit
Self-Learning Fuzzy Logic Control in Medicine
Lexical Characterization and Analysis of the BioPortal Ontologies
Artificial Intelligence in Medicine - 23rd International Conference, AIME 2025, Pavia, Italy, June 23-26, 2025, Proceedings, Part I
HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population
Using Cluster Ensembles to Identify Psychiatric Patient Subgroups
A Clustering-Based Constructive Induction Method and Its Application to Rheumatoid Arthritis
Difficulty Translation in Histopathology Images
Acute Hypertensive Episodes Prediction
Induction of Expert System Rules from Clinical Databases Based on Rough Set Theory and Resampling Methods
A Semantics-Based Communication System for Dysphasic Subjects
Assessing the Effectiveness of Sequences of Treatments Using Sequential Patterns
Using Critiquing for Improving Medical Protocols: Harder than It Seems
Blockchain-Based Federated Learning in Medicine
Generating Extremely Short Summaries from the Scientific Literature to Support Decisions in Primary Healthcare: A Human Evaluation Study
DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs
MHB - A Many-Headed Bridge Between Informal and Formal Guideline Representations
A Model-Based Approach to Insulin Adjustment
Deep Learning for Haemodialysis Time Series Classification
Reflections on Building Medical Decision Support Systems and Corresponding Implementation in Diagnostics Shell D3
Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction
Generating Macro-Temporality in Timed Transition Diagrams
Transformers for Multi-label Classification of Medical Text: An Empirical Comparison
Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I
Temporal Conformance Analysis of Clinical Guidelines Execution
Do They Really Know? Evaluating Large Language Models' Ability to Reference and Cite Oncology Guidelines
Subgroup Discovery for Weight Learning in Breast Cancer Diagnosis
Assessing Knee Osteoarthritis Severity and Biomechanical Changes After Total Knee Arthroplasty Using Self-organizing Maps
Advancing Deep Brain Stimulation: Machine Learning for Intraoperative SubThalamic Nucleus Targeting from MicroElectrode Recordings
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing
Fully Interactive Lungs Auscultation with AI Enabled Digital Stethoscope
KIDS: A Specialized Architecture for Medical Image Interpretation
A Goal-Oriented Methodology for Treatment of Patients with Multimorbidity - Goal Comorbidities (GoCom) Proof-of-Concept Demonstration
Artificial Intelligence in Medicine - 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12-15, 2023, Proceedings
Lessons Learned from Implementing and Evaluating Computerized Decision Support Systems
Probabilistic Abstraction of Multiple Longitudinal Electronic Medical Records
Using Lexical, Terminological and Ontological Resources for Entity Recognition Tasks in the Medical Domain
How Ontologies Can Improve Semantic Interoperability in Health Care
Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques
Learning-Free Text Categorization
A General Framework for Building Patient Monitoring Systems
Development of AI-Enabled Apps by Patients and Domain Experts Using the Punya Platform: A Case Study for Diabetes
Semi-automated Ontology Development and Management System Applied to Medically Unexplained Syndromes in the U.S. Veterans Population
Explainable AI for Allergy Diagnosis: A CACTUS Framework to Address Doctor Variability
Sequential Knowledge Acquisition: Combining Models and Cases
Online Diagnostic System Based on Bayesian Networks
Design of a Knowledge-Based Decision Support System for Anesthesia Using Simulators Supporting Knowledge Acquisition and Validation
Sepsis Deterioration Prediction Using Channelled Long Short-Term Memory Networks
Embedding-Based Acronym Disambiguation Supported by Large Language Models in German Clinical Narratives
Enhancing Organ Transplant Outcomes: AI-Driven Prediction of Organ Viability Using Clinical Data
Visualisation of Multidimensional Data for Medical Decision Support
Computer-Aided Assessment of Drug-Induced Lung Disease Plausibility
Exploring the Missing Medical Context in Generated Radiology Reports
Combining Supervised and Unsupervised Methods to Support Early Diagnosis of Hepatocellular Carcinoma
SMOOTH-GAN: Towards Sharp and Smooth Synthetic EHR Data Generation
Multi-view Clustering with mvReliefF for Parkinson's Disease Patients Subgroup Detection
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG Identification
Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases
What if Your Floor Could Tell Someone You Fell? A Device Free Fall Detection Method
Analysis of Gene Expression Data by the Logic Minimization Approach
A Knowledge-Based Modelling of Hospital Information Systems Components
Machine Learning Based Prediction of Incident Cases of Crohn's Disease Using Electronic Health Records from a Large Integrated Health System
Identifying Condition-Action Sentences Using a Heuristic-Based Information Extraction Method
Extracting Surrogate Decision Trees from Black-Box Models to Explain the Temporal Importance of Clinical Features in Predicting Kidney Graft Survival
Sentence-Aligned Simplification of Biomedical Abstracts
Learning Bayesisan Networks by Genetic Algorithms: A Case Study in the Prediction of Survival in Malignant Skin Melanoma
On Identifying Effective Investigations with Feature Finding Using Explainable AI: An Ophthalmology Case Study
Variation Prediction in Clinical Processes
Reconstructing Cycle-to-Cycle ECG from Heart Sound
Argumentation-Logic for Explaining Anomalous Patient Responses to Treatments
Knowledge-Based System to Predict the Effect of Pregnancy on Progression of Diabetic Retinopathy
The Data Abstraction Layer as Knowledge Provider for a Medical Multi-agent System
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
Transformer-Based Bi-encoder for Early Neonatal Birth Weight Prediction Using Maternal Nutritional and Health Insights
AI in Healthcare: Ethical and Privacy Challenges
Discovery and Integration of Organ-Failure Episodes in Mortality Prediction
Optimization of Online Patient Scheduling with Urgencies and Preferences
An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy
Repeated Prognosis in the Intensive Care: How Well Do Physicians and Temporal Models Perform?
An Ontological Analysis of Surgical Deeds
Voting Techniques for a Multi-terminology Based Biomedical Information Retrieval
Implementing ESTROPID - An Expert System for Tropical Diseases
Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks
Testing Asbru Guidelines and Protocols for Neonatal Intensive Care
The Use of a Production System for Simulation Analysis of Tumour Cell Migration in vitro : Development of a Specialized Control Strategy
Helping Physicians to Organize Guidelines Within Conceptual Hierarchies
A Knowledge-Based System to Support Emergency Medical Services for Disabled Patients
When Can I Expect the mHealth User to Return? Prediction Meets Time Series with Gaps
Combining Unsupervised and Supervised Machine Learning
Implementing a Clinical Decision Support System for Glucose Control for the Intensive Cardiac Care
Proceedings of the 4th International Workshop on Artificial Intelligence and Assistive Medicine co-located with the 15th Conference on Artificial Intelligence in Medicine (AIME 2015), Pavia, Italy, June 20, 2015
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians
Extending Temporal Databases to Deal with Telic/Atelic Medical Data
Towards a Simple Ontology Definition Language (SOntoDL) for a Semantic Web of Evidence-Based Medical Information
Supporting Tools for Guideline Development and Dissemination
A Predictive Bayesian Network Model for Home Management of Preeclampsia
Integrating Ripple Down Rules with Ontologies in an Oncology Domain
A 360° View for Large Language Models: Early Detection of Amblyopia in Children Using Multi-view Eye Movement Recordings
Ontology-Based Generation of Dynamic Feedback on Physical Activity
Extraction, Analysis, and Visualization of Temporal Association Rules from Interval-Based Clinical Data
Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN
Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis
Some Issues in the Control of Interactive Differential Diagnosis
Interpreting Gene Expression Data by Searching for Enriched Gene Sets
Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices
Using Word Embeddings to Extract Semantic Relations from Biomedical Texts: Towards Literature-Based Discovery
The Validation of an Expert System for Diagnosis of Acute Myocardial Infarction
Elicitation of Neurological Knowledge with ABML