Health Information Science : 13th International Conference, HIS 2024, Hong Kong, China, December 8–10, 2024, Proceedings / edited by Siuly Siuly, Chunxiao Xing, Xiaofan Li, Rui Zhou.

Format:

Book

Contributor:

Siuly, Siuly, Editor.

Xing, Chunxiao, Editor.

Li, Xiaofan, Editor.

Zhou, Rui, 1953- Editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15336

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 (XIII, 340 p. 95 illus., 75 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

This book LNCS 15336 constitutes the refereed proceedings of the 13th International Conference on Health Information Science, HIS 2024, held in Hong Kong, China, during December 8-10, 2024. The 18 full papers and 11 short papers were carefully reviewed and selected from 59 submissions. The scope of the conference includes: (1) medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, and optimize the use of information in the health domain; (2) data management, data mining, and knowledge discovery, all of which play a key role in decision-making, management of public health, examination of standards, privacy and security issues; (3) computer visualization and artificial intelligence for computer-aided diagnosis; (4) development of new architectures and applications for health information systems. .

Contents:

Artificial Intelligence in Enhancing Electronic Health Record Systems: A Comprehensive Survey

Complex Query Optimization in Sepsis Data Using Learned Index with Data Transformation

A Novel Feature Selection Framework Based on Large Language Models

LTGAN: Multi-label Time-series GAN with Constraints for Electronic Health Records Generation

Multi-condition Join Query Optimization For Disease-specific Data Exploration Based On Data Lake

Multi-modal Medical Data Management Platform Based on Data Lake

Comparative Study of Machine Learning Algorithms for IoT Cyber Threat Detection in Healthcare Information Systems

Myocardial Band Transformer Network for Detecting Myocardial Ischemia in 2D Echocardiography

Deep Learning-Enabled Electronic Health Records for Accurate Diagnosis of Cardiovascular Diseases: A Retrospective, Prospective, Diagnostic Study

V-GnNet: Voxel and Graph Node Based Network for Continuously Consistent Artery and Vein Classification in Non-contrast CT Images

Multilabel Classification for Cancer Subtypes

TG.Net：A deep learning model combining attention mechanism for effective prediction of multi stages of Chronic Kidney Disease

A Deep Transfer Learning Approach for Predicting Diabetes Complications Using Genomic Data

Using machine learning to predict the risk severity of late effects of a childhood rhabdomyosarcoma survivors

Predicting C-section Outcomes among Bangladeshi Women: A Comparative Study of Machine Learning Techniques

Exploring Relations between Depression and Cognitive Impairment

Investigating Roles of Immune Functions in Depression by Using Knowledge Graph Approach

EEG Sleep Classification Based on Fourier-Bessel Technique Coupled with LS-SVM

An AI driven framework for EEG based-BCI technology

Perceptions of Academic Performance and Mental Health Among Pharmacy Students Across Different Learning Modalities

Epilepsy Detection from Weighted EEG Graph (WEG) using Novel Feature- Normalized Weighted Forgotten Topological Index (NWFT-index)

Extended Knowledge Graphs of Depression

IBDR-Net: A Computerized Framework for Irregular Brain Signal Data Recognition

Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model

Robust Approach for Human Activity Recognition Using Decomposition Technique Based Machine Learning Models

The Impact of COVID-19 and the Ukrainian war on the share market index for the Australian Financial sector

The Impact of COVID-19 on Global GMAT Test-Taking Patterns: A Statistical Analysis

A Geriatric Disease Medical Consultation System Based on Multi-Agent Architecture and Knowledge Graph

Impact of social media on heart health-related behaviours in health promotion interventions: sentiment analysis of tweets linked to the American Heart Month campaigns.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9655-97-8

OCLC:

1519974865