Health Information Science : 11th International Conference, HIS 2022, Virtual Event, October 28–30, 2022, Proceedings / edited by Agma Traina, Hua Wang, Yong Zhang, Siuly Siuly, Rui Zhou, Lu Chen.

Format:

Book

Contributor:

Traina, Agma, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13705

Language:

English

Subjects (All):

Medical informatics.

Artificial intelligence.

Computer engineering.

Computer networks.

Application software.

Image processing--Digital techniques.

Image processing.

Computer vision.

Data structures (Computer science).

Information theory.

Health Informatics.

Artificial Intelligence.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Data Structures and Information Theory.

Local Subjects:

Health Informatics.

Artificial Intelligence.

Computer Engineering and Networks.

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Data Structures and Information Theory.

Physical Description:

1 online resource (335 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

This book constitutes the refereed proceedings of the 11th International Conference on Health Information Science, HIS 2022, held in Virtual Event during October 28–30, 2022. The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: applications of health and medical data; health and medical data processing; health and medical data mining via graph-based approaches; and health and medical data classification.

Contents:

Applications of Health and Medical Data

Evidence extraction to validate medical claims in fake news detection

Detection of obsessive-compulsive disorder in Australian children and adolescents using machine learning methods

An Anomaly Detection Framework Based on Data Lake for Medical Multivariate Time Series

Anomaly Detection on Health Data

DRAM-Net: A Deep Residual Alzheimer's Diseases and Mild Cognitive Impairment Detection Network Using EEG Data

An Intelligence Model for Blood Pressure Estimation from Photoplethysmography Signal

Tailored Nutrition Service to Reduce the Risk of Chronic Diseases

Combining Process Mining And Time Series Forecasting To Predict Hospital Bed Occupancy

HGCL: Heterogeneous Graph Contrastive Learning for Traditional Chinese Medicine Prescription Generation

Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG

Learning optimal treatment strategies for sepsis usingonline reinforcement learning in continuous space

Health and Medical Data Processing

MHDML:Construction of A Medical Lakehouse for Multi-source Heterogeneous Data

Data Exploration Optimization for Medical Big Data

Improving Data Analytic Performance in Health Information System with Big Data Technology

HoloCleanX: A Multi-source Heterogeneous Data Cleaning Solution Based on Lakehouse Platform

The construction and validation of an automatic crisis balance analysis model

Assessing the Utilization of TELedentistry from perspectives of early career dental practitioners - development of the UTEL Questionnaire

Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System

Research on the Crisis Intervention Strategy Service System

Towards a Perspective to Analyze Emergent Sytems in the Health Domain

Health and Medical Data Mining via Graph-based Approaches

Food recommendation for mental health by using knowledge graph approach

Medical Knowledge Graph Construction Based on Traceable Conversion

Alcoholic EEG Data Classification Using Weighted Graph Based Technique

Health and Medical Data Classification

Optical Coherence Tomography Classification based on Transfer Learning and RA-Attention

Intelligent Interpretation and Classification of Multivariate Medical time series based on Convolutional Neural Networks

ECG Signals Classification Model Based on Frequency domain Features Coupled with Least Square Support Vector Machine (LS-SVM)

Cluster analysis of low-dimensional medical concept representations from Electronic Health Records.

Other Format:

Print version: Traina, Agma Health Information Science

ISBN:

9783031206276

3031206274