A5016715990- Translation Studies and Practices
- Machine Learning in Healthcare
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Protein Structure and Dynamics
- Microbial Natural Products and Biosynthesis
- RNA modifications and cancer
- Hemoglobinopathies and Related Disorders
- Computational Drug Discovery Methods
- Artificial Intelligence in Healthcare
- Global Maternal and Child Health
- Medical Research and Treatments
- Natural Language Processing Techniques
- Cancer-related molecular mechanisms research
- linguistics and terminology studies
- Reproductive Health and Contraception
- Parallel Computing and Optimization Techniques
- Philippine History and Culture
- MicroRNA in disease regulation
- Biblical Studies and Interpretation
- Phytochemical Studies and Bioactivities
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Traditional Chinese Medicine Analysis
- Scheduling and Optimization Algorithms
- Blood groups and transfusion
First Affiliated Hospital of Guangzhou Medical University
2025
State Key Laboratory of Respiratory Disease
2025
Guangzhou Medical University
2021-2025
Xiamen University
2022-2023
Xiamen University of Technology
2023
Guangzhou Women and Children Medical Center
2021
Children's Medical Center
2021
Fujian Normal University
2008-2019
University of Languages and International Studies
2010
Yunnan Population and Family Planning Research Institute
2010
Abstract Potential miRNA–disease associations (MDA) play an important role in the discovery of complex human disease etiology. Therefore, MDA prediction is attractive research topic field biomedical machine learning. Recently, several models have been proposed for this task, but their performance limited by over-reliance on relevant network information with noisy graph structure connections. However, application self-supervised learning to tasks remains unexplored. Our study first use...
Abstract Respiratory diseases pose a significant global health burden, with challenges in early and accurate diagnosis due to overlapping clinical symptoms, which often leads misdiagnosis or delayed treatment. To address this issue, we developed LungDiag , an artificial intelligence (AI)‐based diagnostic system that utilizes natural language processing (NLP) extract key features from electronic records (EHRs) for the classification of respiratory diseases. This study employed large cohort...
Recent decades have witnessed a growing interest in translation quality assessment (TQA), which is dedicated to the formulation of an objective and comprehensive model for evaluation. H...
Introduction: Respiratory diseases pose a global health burden, and early diagnosis is crucial for effective treatment. Developing natural language processing (NLP) diagnostic system based on electronic records (EHRs) essential but challenging due to the complexity of EHR data.Methods: A retrospective study was conducted using EHRs respiratory disease patients from multiple hospitals in China. An NLP algorithm developed extract clinical features phenotypic attributes EHRs. The extracted were...
The problem of scheduling data-intensive workflows in cloud environment has not been fully studied. There is a large amount communication between workflow tasks, and the time often considered. This paper focuses on with constraints computing. goal to maximize resource utilization rate job success rate, which are closely related interests service providers users. In this paper, strategy based key subtasks proposed evaluated along four other strategies that can be used schedule workflows. It...
The scheduling problem of Directed Acyclic Graph (DAG) with deadline constraints in a cloud computing environment has not been thoroughly studied. This paper concentrates on maximizing resource utilization and success rate such scenarios. To achieve this, algorithm based dynamic downward rank average input duration(DRAS) is proposed. builds upon an enhanced version the list approach. DRAS compared four other algorithms to evaluate its performance. comparative analysis demonstrates that...
Abstract BackgroundThe aim of our study is to describe the status induced abortion and contraceptive use in reproductive women make clear correlated factors Guangdong province.MethodA self-administered questionnaire survey was conducted separately 1839 individuals aged 18–49 900 health care providers from province. The content based on for former problems concerning services latter. Systematic random sampling used data were analyzed using SPSS 19.0. Descriptive statistics binary logistic...