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 using online 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
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.