yusuke1997/dblp-id-title huggingface dataset:
ECGAN: Self-supervised Generative Adversarial Network for Electrocardiography
Connection Between the Parkinson's Disease Subtypes and Patients' Symptoms Progression
Multiparty Argumentation Game for Consensual Expansion Applied to Evidence Based Medicine
Medical Knowledge Representation for Medical Report Analysis
Development and Evaluation of a Knowledge-Based System to Support Ventilator Therapy Management
Is It Time to Trade "Wet-Work" for Network?
Artificial Intelligence in Medicine, 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings
Influence of Data Distribution in Missing Data Imputation
Learning Rules with Complex Temporal Patterns in Biomedical Domains
Artificial Intelligence Medicine, 8th Conference on AI in Medicine in Europe, AIME 2001, Cascais, Portugal, July 1-4, 2001, Proceedings
A General Approach to Represent and Query Now-Relative Medical Data in Relational Databases
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes
An Active Learning Framework for Efficient Condition Severity Classification
Evaluating the Reporting Quality of 21,041 Randomized Controlled Trial Articles with Large Language Models: A Large-Scale Transparency Analysis
Personalizing mHealth Apps with Offline Reinforcement Learning: A Case Study on Mental Health App Adherence
Interpretable Early Detection of Parkinson's Disease Through Speech Analysis
Redundant Elements in SNOMED CT Concept Definitions
Distributed Plan Construction and Execution for Medical Image Interpretation
COPE: Childhood Obesity Prevention [Knowledge] Enterprise
Improving HISYS1 with a Decision Support System
Careflow Personalization Services: Concepts and Tool for the Evaluation of Computer-Interpretable Guidelines
Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction
Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring
Developing a Dyslexia Indicator Using Eye Tracking
Evaluation of Automatic and Manual Knowledge Acquisition for Cerebrospinal Fluid (CSF) Diagnosis
Comparison of Clustering Approaches through Their Application to Pharmacovigilance Terms
Semantic Web Framework for Knowledge-Centric Clinical Decision Support Systems
Histopathology Image Classification Using Bag of Features and Kernel Functions
High Level Control Strategies for Diabetes Therapy
Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT
Medical Decision Making Using Ignorant Influence Diagrams
Modeling Medical Reasoning with the Event Calculus: An Application to the Management of Mechanical Ventilation
Unveiling Sleep Dysregulation in Chronic Fatigue Syndrome with and Without Fibromyalgia Through Bayesian Networks
Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning
A Rule-Free Approach for Cardiological Registry Filling from Italian Clinical Notes with Question Answering Transformers
HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management
Machine Learning Applied to Diagnosis of Sport Injuries
Falls Prediction in Care Homes Using Mobile App Data Collection
Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation
Stratification of Parkinson's Disease Patients via Multi-view Clustering
Management of Hospital Teams for Organ Transplants Using Multi-agent Systems
Weakly-Supervised Segmentation for Disease Localization in Chest X-Ray Images
Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing
Exploring the Use of Projecting Conflicting Gradients in Multi-task Neural Networks with an Application to Amyotrophic Lateral Sclerosis
A Mutual Information Approach to Data Integration for Alzheimer's Disease Patients
Multilingual Decision-Support for the Diagnosis of Acute Abdominal Pain: A European Concerted Action (COPERNICUS 555)
Learning from Data Through the Integration of Qualitative Models and Fuzzy Systems
Detecting Intuitive Mentions of Diseases in Narrative Clinical Text
MRI Scan Synthesis Methods Based on Clustering and Pix2Pix
A CIG Integration Framework to Provide Decision Support for Comorbid Conditions Using Transaction-Based Semantics and Temporal Planning
A Region-Specific GAN-Based Solution for Data Augmentation in Dermatology
A Knowledge-Management Architecture to Integrate and to Share Medical and Clinical Data, Information, and Knowledge
The Spanish Kidney Exchange Model: Study of Computation-Based Alternatives to the Current Procedure
An Analysis of Uncertainty in British General Practice: Implications of a Preliminary Survey
Graph Representation Learning for IBD Diagnosis Based on Microbiome Metaomic Data
AtherEx: An Expert System for Atherosclerosis Risk Assessment
A Causal-Functional Model Applied to EMG Diagnosis
A Model-Based Diagnostic Expert System for Skeletal Dysplasias
Bridging an Asbru Protocol to an Existing Electronic Patient Record
NasoNet, Joining Bayesian Networks and Time to Model Nasopharyngeal Cancer Spread
Technical Solutions for Integrating Clinical Practice Guidelines with Electronic Patient Records
Gaining Process Information from Clinical Practice Guidelines Using Information Extraction
Analyzing Perceived Intentions of Public Health-Related Communication on Twitter
Identifying Parkinson's Patients: A Functional Gradient Boosting Approach
Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies
The role of domain models in maintaining consistency of large medical knowledge bases
A Fine-Tuning Pipeline with Small Conversational Data for Healthcare Chatbot
Visual Definition of Temporal Clinical Abstractions: A User Interface Based on Novel Metaphors
Credal Classification for Dementia Screening
A Multi-agent System for Organ Transplant Co-ordination
Automatic Generation of Textual Summaries from Neonatal Intensive Care Data
Data Driven Order Set Development Using Metaheuristic Optimization
Secure and Private Vertical Federated Learning for Predicting Personalized CVA Outcomes
Qualitative Simulation of Shock States in a Virtual Patient
Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT
Generating Personalised Patient Information Using the Medical Record
Machine Learning Techniques Applied to the Diagnosis of Acute Abdominal Pain
An Ontology-Driven Agent-Based Clinical Guideline Execution Engine
Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data
An Ambient Intelligent Agent for Relapse and Recurrence Monitoring in Unipolar Depression
Linking Rules to Terminologies and Applications in Medical Planning
Evaluating the Confidentiality of Synthetic Clinical Texts Generated by Language Models
Functional Evaluation of SETH: An Expert System In Clinical Toxicology
Data Fusion Approach for Learning Transcriptional Bayesian Networks
Multi-level Clustering in Sarcoidosis: A Preliminary Study
Semi-simulated Data for Improving Fetal QRS Detection Using Deep Neural Networks
An Advanced Platform for Managing Complications of Chronic Diseases
Argumentation for traceable reasoning in teleexpertise
Automated Movement Examination: Skeleton-Based Human Action Recognition for Cognitive Impairment Detection
Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases
Multi-agent Patient Representation in Primary Care
A Concurrent Navigational System among Distributed Knowledge Sources
Exploiting Decision Theory for Supporting Therapy Selection in Computerized Clinical Guidelines
Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating Domain Knowledge into Pre-trained Models
A Software to Evaluate Multislices Radiotherapic Treatment Planning
Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model
A Mixed-Initiative Approach to the Conciliation of Clinical Guidelines for Comorbid Patients
Using ONCODOC as a Computer-Based Eligibility Screening System to Improve Accrual onto Breast Cancer Clinical Trials
Physics-Informed CNN Ensemble for Improved Tissue Perfusion and Diffusion Estimation with Uncertainty Quantification in IVIM MRI
Ultrasound Image Segmentation via a Multi-scale Salient Network
Qualitative Spatial and Temporal Reasoning in Cardiac Electrophysiology
Artificial Intelligence in Medicine, 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009. Proceedings
Towards the Economic Evaluation of Two Mini-invasive Surgical Techniques for Head&Neck Cancer: A Customizable Model for Different Populations
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Representing Medical Context Using Rule-Based Object-Oriented Programming Techniques
Semantic Web Framework to Computerize Staged Reflex Testing Protocols to Mitigate Underutilization of Pathology Tests for Diagnosing Pituitary Disorders
Enhancing Automated Test Selection in Probabilistic Networks
Cooperative Software Agents for Patient Management
CAREDAS: Context and Activity Recognition Enabling Detection of Anomalous Situation
The Benefits of Expert Systems in Health Care. Practical Experiences from CATEG05-ES
Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment
Development of Falling Detection AI Model Using Neuro-Kinematic Multimodality in Parkinson
LLM-Guided Causal Bayesian Network Construction for Pediatric Patients on ECMO
Upper Limb Movements Simulations with Generative Diffusion Models
Guideline Recommendation Text Disambiguation, Representation and Testing
A Knowledge-Based System for the Diagnosis of Alzheimer's Disease
Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study
TKR-tool: An Expert System for Total Knee Replacement Management
Application of Cross-Language Criteria for the Automatic Distinction of Expert and Non Expert Online Health Documents
Diagnostic Modeling to Identify Unrecognized Inpatient Hypercapnia Using Health Record Data
Interacting Agents for the Risk Assessment of Allergies in Newborn Babies
Medical Ontology Validation through Question Answering
A New Approach to Feature Selection
Exploring Antimicrobial Resistance Prediction Using Post-hoc Interpretable Methods
Answering PICO Clinical Questions: A Semantic Graph-Based Approach
A Task-Specific Ontology for the Application and Critiquing of Time-Oriented Clinical Guidelines
MEDES as a tool for different reasoning strategies
Mapping Orphanet Terminology to UMLS
A Graph-Based Approach to the Structural Analysis of Proliferative Breast Lesions
Dynamic Decision Making in Stochastic Partially Observable Domains: Ischemic Heart Disease Example
Quality Assessment and Filtering of HE-Stained Images for Machine Learning Applications
Bayesian Network Decomposition for Modeling Breast Cancer Detection
A SHAP Quotient Game for Explaining Raman Spectroscopy Classification Models
Convolutional Neural Networks for the Identification of Regions of Interest in PET Scans: A Study of Representation Learning for Diagnosing Alzheimer's Disease
Clustering of Medical Publications for Evidence Based Medicine Summarisation
Predictive Monitoring of Local Anomalies in Clinical Treatment Processes
Comparison of Classification with Reject Option Approaches on MIMIC-IV Dataset
Breast-CRAG: A Breast Cancer Large Language Model Leveraging Retrieval-Augmented Generation
Adaptive Optimization of Hospital Resource Calendars
Running Genome Wide Data Analysis Using a Parallel Approach on a Cloud Platform
A Machine Learning Approach to Predict Diabetes Using Short Recorded Photoplethysmography and Physiological Characteristics
Temporal Abstractions for Diabetic Patients Management
Modelling Screening Mammography Images: A Probabilistic Relational Approach
CodeSlinger: An Interactive Biomedical Ontology Browser
FaST: A Tool for Vignette-Based Factorial Survey Management
A Trustworthy Evolutionary Fuzzy Neural Network Framework for Maternal Health Risk Classification
AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning
Personalized Techniques for Lifestyle Change
Learning to Predict the Optimal Template in Stain Normalization for Histology Image Analysis
Interface of Inference Models with Concept and Medical Record Models
Calibrating Histopathology Image Classifiers Using Label Smoothing
Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift
Enlarging a Medical Actor Profile Ontology with New Care Units
Using Temporal Probabilistic Knowledge for Medical Decision Making
Enhancing Hypotension Prediction in Real-Time Patient Monitoring Through Deep Learning: A Novel Application of XResNet with Contrastive Learning and Value Attention Mechanisms
An Integrated IT System for Phenotypic and Genotypic Data Mining and Management
A Novel Deep Learning Model for COVID-19 Detection from Combined Heterogeneous X-ray and CT Chest Images
Acquiring and Validating Background Knowledge for Machine Learning Using Function Decomposition
A Heuristic Approach to the Multiple Diagnoses Problem
Computerised Guidelines Implementation: Obtaining Feedback for Revision of Guidelines, Clinical Data Model and Data Flow
Maintaining Formal Models of Living Guidelines Efficiently
Explainable AI for Smoking Behaviour Detection: A Danish Medical Records Study
OptimalMEE: Optimizing Large Language Models for Medical Event Extraction Through Fine-Tuning and Post-hoc Verification
CI-VAE for Single-Cell: Leveraging Generative-AI to Enhance Disease Understanding
Predicting Adverse Drug Events by Analyzing Electronic Patient Records
Improving Reminder Apps for Home Voice Assistants
The Intelligent Ventilator Project: Application of Physiological Models in Decision Support
A System for the Acquisition, Interactive Exploration and Annotation of Stereoscopic Images
Exploring IBM Watson to Extract Meaningful Information from the List of References of a Clinical Practice Guideline
Integrating Ontological Knowledge with Probability Data to Aid Diagnosis in Radiology
Feasibility of Spirography Features for Objective Assessment of Motor Symptoms in Parkinson's Disease
A Topological Data Analysis Mapper of the Ovarian Folliculogenesis Based on MALDI Mass Spectrometry Imaging Proteomics
Effective Confidence Region Prediction Using Probability Forecasters
Discriminating Exanthematic Diseases from Temporal Patterns of Patient Symptoms
Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma
Breast Cancer Subtype Prediction Model Integrating Domain Adaptation with Semi-supervised Learning on DNA Methylation Profiles
Modelling of Radiological Examinations with POKMAT, a Process Oriented Knowledge Management Tool
Primary Care Datasets for Early Lung Cancer Detection: An AI Led Approach
Model Evaluation Approaches for Human Activity Recognition from Time-Series Data
Oblique Dipolar Tree for Survival Data with Time-Varying Covariates
A Knowledge System Architecture for Diagnostic Reasoning
Improving the Mapping between MedDRA and SNOMED CT
Early Detection of ALS in Absence of Speech Impairments with Computer Audition
Towards Automatic Patient Eligibility Assessment: From Free-Text Criteria to Queries
Integration of Neural Networks and Knowledge-Based Systems in Medicine
A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset
Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image
Diagnosis and Monitoring of Ulnar Nerve Lesions
DBNcare: Towards an R Package for Dynamic Bayesian Networks Application in Healthcare
Computer Vision: A Plea for a Constructivist View
Improving Prediction Models' Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period
Knowledge-Based Identification of Multicomponent Therapies
Modelling and Assessment of One-Drug Dose Titration
Hypothesist: A Development Environment for Intelligent Diagnostic Systems
R-CAST-MED: Applying Intelligent Agents to Support Emergency Medical Decision-Making Teams
Artificial Intelligence Medicine, 6th Conference on Artificial Intelligence in Medicine in Europe, AIME'97, Grenoble, France, March 23-26, 1997, Proceedings
Review of Recent Deep Learning Techniques Using Longitudinal Mammogram Data
Mobile Aided System of Deep-Learning Based Cataract Grading from Fundus Images
A Practical Exercise on Re-engineering Clinical Guideline Models Using Different Representation Languages
Detecting Dominant Alternative Interventions to Reduce Treatment Costs
Dealing with Data Scarcity in Rare Diseases: Dynamic Bayesian Networks and Transfer Learning to Develop Prognostic Models of Amyotrophic Lateral Sclerosis
Model-Based Application: The Galen Structured Clinical User Interface
Multi-view k-Nearest Neighbor Graph Contrastive Learning on Multi-modal Biomedical Data
Querying Clinical Workflows by Temporal Similarity
Reducing Total Fertilization Failure in In-Vitro Fertilization: A Prescriptive Analytics Framework for Controlled Ovarian Stimulation Protocol Recommendations
Managing COPD Exacerbations with Telemedicine
A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis
VIE-DIAB: A Support Program for Telemedical Glycaemic Control
Ontology-Guided Data Augmentation for Medical Document Classification
Declarative Sequential Pattern Mining of Care Pathways
Reinforcement Learning on Dyads to Enhance Medication Adherence
RuMedBench: A Russian Medical Language Understanding Benchmark
Integrating Graph Convolutional Networks (GCNNs) and Long Short-Term Memory (LSTM) for Efficient Diagnosis of Autism
Considering Temporal Preferences and Probabilities in Guideline Interaction Analysis
Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra
Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings
3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory
Medical Prognosis from Electronic Health Records in Spanish
Enhancing Anti-VEGF Response Prediction in Diabetic Macular Edema Through OCT Features and Clinical Data Integration Based on Deep Learning
A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images
A Developmental Perspective on the Role of Biomedical Knowledge in Medical Problem Solving; Implications for AI
A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology
Clinical Reasoning Learning with Simulated Patients
MRI Reconstruction with LassoNet and Compressed Sensing
iALARM: An Intelligent Alert Language for Activation, Response, and Monitoring of Medical Alerts
Document-Oriented Views of Guideline Knowledge Bases
Using Multivariate Sequential Patterns to Improve Survival Prediction in Intensive Care Burn Unit
Characterisation of Tumorous Tissue in Rat Brain by in Vitro Magnetic Resonance Spectroscopy and Artificial Neural Networks
A Nearest Neighbor Approach to Predicting Survival Time with an Application in Chronic Respiratory Disease
A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care
Genetic Algorithm Based Scheduling of Radiotherapy Treatments for Cancer Patients
Divide to Better Classify
Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?
Expert Insight-Enhanced Follow-Up Chest X-ray Summary Generation
TTS-GAN: A Transformer-Based Time-Series Generative Adversarial Network
Medical Fuzz;y Expert Systems and Reasoning about Beliefs
Parts, Locations, and Holes - Formal Reasoning about Anatomical Structures
Using Semantic Web Technologies for Knowledge-Driven Querying of Biomedical Data
Quality Assessment of Hemodialysis Services through Temporal Data Mining
Classifying Measurements in Dictated, Free-Text Radiology Reports
From Regex to Encoders: Low-Effort Negation Detection for Healthcare Data Integration in Italian Hospitals
Time-to-Birth Prediction Models and the Influence of Expert Opinions
Extracting Information from Summary of Product Characteristics for Improving Drugs Prescription Safety
Diagnostic Decision Support Based on Generic Disease Descriptions and Detailed Anatomical Knowledge
Distributed Learning to Protect Privacy in Multi-centric Clinical Studies
COBRA: Integration of Knowledge-Bases with Case-Databases in the Domain of Congenital Malformation
Echo State Networks as Novel Approach for Low-Cost Myoelectric Control
Phenotypes for Resistant Bacteria Infections Using an Efficient Subgroup Discovery Algorithm
Process Mining for Capacity Planning and Reconfiguration of a Logistics System to Enhance the Intra-Hospital Patient Transport. Case Study
Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study
Novel Approach for Phenotyping Based on Diverse Top-K Subgroup Lists
Statistical Machine Learning for Automatic Assessment of Physical Activity Intensity Using Multi-axial Accelerometry and Heart Rate
The Effects of Disregarding Test Characteristics in Probabilistic Networks
Drifting Concepts as Hidden Factors in Clinical Studies
Predicting Waiting Time and Quality of Kidney Offers for Kidney Transplant Candidates
An Ontology for the Care of the Elder at Home
Adversarial Robustness and Feature Impact Analysis for Driver Drowsiness Detection
MetaCoDe: A Lightweight UMLS Mapping Tool
Common Misconceptions and Future Directions for AI in Medicine: A Physician-Data Scientist Perspective
Towards a Formal Description of Artificial Intelligence Models and Datasets in Radiology
Machine Learning-Based Decision Support for Allergy Diagnosis: Real-World Implementation in a Hospital Setting
Recent Context-Aware LSTM for Clinical Event Time-Series Prediction
A Token Centric Part-of-Speech Tagger for Biomedical Text
Using Lexical and Logical Methods for the Alignment of Medical Terminologies
Disentangled Hyperspherical Clustering for Sepsis Phenotyping
Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks
NEONATE: Decision Support in the Neonatal Intensive Care Unit - A Preliminary Report
Generative AI Meets Genomics: VarChat, a RAG-Based Approach for Literature-Driven Variant Summarization
Biomedical Knowledge Extraction Using Fuzzy Differential Profiles and Semantic Ranking
A Bayesian Neural Network Approach for Sleep Apnea Classification
Designing an Adaptive Interface for EPIAIM
Interpretable Patient Subgrouping Using Trace-Based Clustering
A New Local Radon Descriptor for Content-Based Image Search
Who Knocks on Heaven's Door: Measuring Augmentation and Outperformance in Human-AI Diagnostic Teams
Enhancing Random Forests Performance in Microarray Data Classification
Effect of Depth Order on Iterative Nested Named Entity Recognition Models
A Pattern Recognition Approach to Diagnose Foot Plant Pathologies: From Segmentation to Classification
How to Use Symbolic Fusion to Support the Sleep Apnea Syndrome Diagnosis
Analyzing Differences in Operational Disease Definitions Using Ontological Modeling
Protocols for Medical Procedures and Therapies: A Provisional Description of the PROforma Language and Tools
A Constraint Logic Programming Approach to Identifying Inconsistencies in Clinical Practice Guidelines for Patients with Comorbidity
InvUNET: Involuted UNET for Breast Tumor Segmentation from Ultrasound
Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction
Human Computer Interaction in Context Aware Wearable Systems
A History-Based Algebra for Quality-Checking Medical Guidelines
Catching Patient's Attention at the Right Time to Help Them Undergo Behavioural Change: Stress Classification Experiment from Blood Volume Pulse