Health information science : 11th international conference, HIS 2022, virtual event, October 28-30, 2022, proceedings / / Agma Traina [and five others] (editors)

• Pubblicazione: Cham : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (335 pages)
• Disciplina: 610.285
• Soggetto topico: Medical informatics; Medical records - Data processing
• Persona (resp. second.): TrainaAgma
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Applications of Health and Medical Data -- Evidence Extraction to Validate Medical Claims in Fake News Detection -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Stage One (Selecting Similar Sentences) -- 3.2 Stage Two (Classifying Sentences) -- 4 Experiments Evaluation -- 4.1 Dataset Details -- 4.2 Experimental Settings -- 4.3 Results and Discussion -- 4.4 Supervised Case -- 4.5 Ablation Study -- 5 Conclusion -- References -- Detection of Obsessive-Compulsive Disorder in Australian Children and Adolescents Using Machine Learning Methods -- 1 Introduction -- 1.1 Contribution and Organization of the Paper -- 2 Proposed Methodology -- 2.1 Dataset -- 2.2 Data Processing -- 2.3 Methodology -- 3 Experimental Results and Discussion -- 4 Conclusion -- References -- An Anomaly Detection Framework Based on Data Lake for Medical Multivariate Time Series -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 4 Data Fusion and Exploration -- 5 Data Refinement -- 6 Anomaly Detection -- 6.1 Problem Statement -- 6.2 Convolutional LSTM Based Auto-encoder (CLBA) -- 6.3 Multi-scale Convolutional Recurrent Encoder-Decoder (MSCRED) -- 7 Case Study -- 8 Conclusion -- References -- Anomaly Detection on Health Data -- 1 Introduction -- 2 Key State-of-the-Art Methods -- 2.1 k Nearest Neighbors (kNN) -- 2.2 Local Outlier Factor (LOF) -- 2.3 Isolation Forest -- 2.4 Histogram Based Outlier Score -- 2.5 Sp -- 2.6 iNNE -- 2.7 SPAD -- 3 Experimental Evaluation -- 3.1 Datasets -- 3.2 Algorithm Implementation and Parameters -- 3.3 Evaluation Measures -- 4 Experimental Results and Discussion -- 5 Conclusion -- References -- DRAM-Net: A Deep Residual Alzheimer's Diseases and Mild Cognitive Impairment Detection Network Using EEG Data -- 1 Introduction -- 2 Proposed DRAM-Net Framework -- 2.1 EEG Data Collection. ; 2.2 Preprocessing -- 2.3 DRAM-Net Architecture to Identify AD, MCI, and HVs -- 3 Results and Discussions -- 4 Future Study and Conclusion -- References -- An Intelligence Approach for Blood Pressure Estimation from Photoplethysmography Signal -- 1 Introduction -- 2 Methodology and Material -- 2.1 Experimental Dataset -- 2.2 The Proposed Model -- 2.3 Machine Learning Approach to Estimate Blood Pressure -- 3 Experimental Results -- 3.1 Comparative Study with Different Feature Sets -- 4 Conclusions -- References -- Tailored Nutrition Service to Reduce the Risk of Chronic Diseases -- 1 Introduction -- 2 Chronic Diseases and Genes -- 3 Tailored Nutrition Intervention -- 3.1 Genetic Testing -- 3.2 Physical Examination -- 3.3 Health Condition and Lifestyle Evaluation -- 3.4 Tailored Nutrition -- 4 Conclusions -- References -- Combining Process Mining and Time Series Forecasting to Predict Hospital Bed Occupancy -- 1 Introduction -- 2 Theoretical Framework -- 3 Data -- 4 Methods -- 4.1 Process Mining of Patient Flows -- 4.2 Forecasting Algorithm -- 5 Experiments and Results -- 5.1 Modeling Hospital Patient Flows -- 5.2 Forecasting Bed Occupancy -- 5.3 Combining Patient Flows with A Forecasting Model -- 5.4 Model Extension with Knowledge -- 6 Discussion -- References -- HGCL: Heterogeneous Graph Contrastive Learning for Traditional Chinese Medicine Prescription Generation -- 1 Introduction -- 2 Related Work -- 2.1 TCM Prescription Generation -- 2.2 Graph Contrastive Learning -- 3 Preliminary -- 4 Our Proposed Model: HGCL -- 4.1 Data Augmentation on THIN -- 4.2 Node-level Contrastive Learning (NCL) -- 4.3 Semantic-Level Contrastive Learning (SCL) -- 4.4 Model Training -- 5 Experiments -- 5.1 Datasets -- 5.2 Baseline Methods -- 5.3 Herb Classification and Similarity Search -- 5.4 Prescription Generation -- 5.5 Ablation Study -- 5.6 Parameters Study. ; 6 Conclusion -- References -- Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG -- 1 Introduction -- 2 Materials -- 3 Methods -- 3.1 Module 1: Pre-processing -- 3.2 Module 2: Fractional Fourier Transform as Feature Extraction -- 3.3 Module 3: Classification -- 4 Results and Discussions -- 5 Conclusion -- References -- Learning Optimal Treatment Strategies for Sepsis Using Offline Reinforcement Learning in Continuous Space -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Reinforcement Learning -- 3.2 Extrapolation Error -- 4 Datasets -- 5 Model Architecture -- 5.1 History Capture Model -- 5.2 Generative Model -- 5.3 Perturbation Model -- 5.4 Q-Networks -- 6 Experiment -- 6.1 Medical Action Selection -- 6.2 Reward Function -- 6.3 Training Process -- 7 Results -- 7.1 Result Analysis -- 7.2 Evaluation Metric -- 8 Conclusions -- References -- Health and Medical Data Processing -- MHDML: Construction of a Medical Lakehouse for Multi-source Heterogeneous Data -- 1 Introduction -- 2 Related Work -- 3 The Function Architecture of Medical Lakehouse -- 3.1 Data Ingestion Layer -- 3.2 Data Storage Layer -- 3.3 Data Management Layer -- 3.4 Data Scheduling Layer -- 3.5 Ecological Service Layer -- 3.6 Application Layer -- 4 Application and Implementation -- 5 Conclusion and Future Work -- References -- A Hybrid Medical Causal Inference Platform Based on Data Lake -- 1 Introduction -- 2 Related Work -- 3 Platform Design -- 3.1 Architecture and Workflow -- 3.2 Data-Driven vs Knowledge-Driven Methods -- 3.3 Integration of Data-Driven Expansion and Knowledge-Driven Simplification -- 4 Multi-source Heterogeneous Data Fusion -- 5 Exploratory Data Analysis -- 6 Causal Inference -- 7 Implementation and Use Case -- 8 Conclusion -- References -- Data Exploration Optimization for Medical Big Data -- 1 Introduction. ; 2 Related Work -- 3 Data Storage and Migration -- 3.1 Data Migration Process -- 3.2 Implementation of Data Migration -- 4 Optimization Method for Medical Big Data -- 4.1 MIMIC-IV Data Exploration and Optimization Scheme -- 4.2 Importing Data into ORC Table and Creating Views -- 5 Experiment and Analysis -- 5.1 Experimental Environment -- 5.2 Experimental Data and Scheme -- 5.3 Experimental Results and Analysis -- 5.4 Analysis -- 6 Conclusion and Future Work -- References -- Improving Data Analytic Performance in Health Information System with Big Data Technology -- 1 Introduction -- 2 Related Works -- 3 Applying Big Data Technology to Improve Data Analytic Performance in Traditional Health Information Systems -- 3.1 Conceptual Model of Proposed Data Analytic Module for HIS -- 3.2 Implementation Model of HIS-BI -- 4 Experiment and Results -- 5 Conclusions and Future Work -- References -- HoloCleanX: A Multi-source Heterogeneous Data Cleaning Solution Based on Lakehouse -- 1 Introduction -- 2 Related Work -- 3 Architecture of HoloCleanX -- 4 Heterogeneous Data Fusion -- 5 Data Cleaning -- 5.1 Interactive Cleaning Procedure -- 5.2 Improved Inference Model -- 5.3 Data Restoration and Storage -- 6 System Implementation and Usage -- 6.1 Implementation -- 6.2 Usage -- 7 Conclusion and Future Work -- References -- The Construction and Validation of an Automatic Crisis Balance Analysis Model -- 1 Background -- 2 Method -- 2.1 Study Design -- 2.2 Enriching and Quantifing Aguilera's Crisis Balance Theory -- 2.3 The Construction of Suicide Risk Assessment Model -- 2.4 The Construction of Cognitive Distortion and Interpersonal Relationship Analysis Model -- 2.5 Validation Methods -- 3 Results -- 3.1 Evaluation of Suicide Risk Assessment Model -- 3.2 Evaluation of Cognitive Distortion and Interpersonal Relationship Analysis Model. ; 3.3 Validation of the Automatic Crisis Balance Analysis Model's Predictive Efficacy -- 4 Discussion -- 5 Conclusion -- References -- Assessing the Utilisation of TELedentistry from Perspectives of Early Career Dental Practitioners - Development of the UTEL Questionnaire -- 1 Introduction -- 2 Aims -- 3 Methods -- 3.1 Ethics Approval -- 4 Results -- 4.1 Demographics -- 4.2 Diagnosis -- 4.3 Accessibility -- 4.4 Patient Care -- 4.5 Technology -- 4.6 Finances -- 5 Discussion -- 6 Conclusion -- References -- Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 GA for PA -- 4.1 Representation -- 4.2 Crossover Operator -- 4.3 Mutation Operator -- 4.4 Overall Procedure -- 5 Experimental Setup -- 6 Experimental Result -- 6.1 Comparison with Existing Approaches -- 7 Conclusion -- References -- Research on the Construction of Psychological Crisis Intervention Strategy Service System -- 1 Introduction -- 2 Construction of Knowledge Graph -- 2.1 Data Sources -- 2.2 Structure Design of Knowledge Graph -- 2.3 Calculation of Sentence Vector -- 2.4 Storage of Knowledge Graph -- 3 Construction of Psychological Crisis Intervention System -- 3.1 Keyword Extraction Module -- 3.2 Knowledge Graph Retrieval Module -- 3.3 Generation of Intervention Text Module -- 3.4 Crisis Intervention Strategy Providing Module -- 3.5 System Performance Analysis -- 4 Conclusion -- References -- Towards a Perspective to Analyze Emergent Systems in Health Domain -- 1 Introduction -- 2 Background -- 3 Research Method -- 3.1 Define Research Terms -- 3.2 Inclusion, Exclusion, and Selection Criteria -- 4 Results -- 5 Consensus on Emergent Systems from the Literature -- 5.1 Perspective Do Analyze the Health Domain -- 5.2 Limitations -- 6 Conclusion and Future Research -- References. ; Health and Medical Data Mining via Graph-based Approaches.
• Titolo autorizzato: Health Information Science
• ISBN: 3-031-20627-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996495566803316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture notes in computer science ; ; Volume 13705.