A5028237053- COVID-19 and Mental Health
- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Long-Term Effects of COVID-19
- Innovative Educational Techniques
- Posttraumatic Stress Disorder Research
- Advanced Neuroimaging Techniques and Applications
- HIV/AIDS Research and Interventions
- HIV, Drug Use, Sexual Risk
- Advanced Measurement and Detection Methods
- Nitrogen and Sulfur Effects on Brassica
- Environmental and Agricultural Sciences
- Structural Engineering and Vibration Analysis
- Advanced Graph Neural Networks
- Cultural and Communication Design Research
- Face and Expression Recognition
- Capital Investment and Risk Analysis
- Intensive Care Unit Cognitive Disorders
- Viral Infections and Outbreaks Research
- Civil and Geotechnical Engineering Research
- Health, Environment, Cognitive Aging
- Advanced Clustering Algorithms Research
- Mental Health Treatment and Access
- Cell Image Analysis Techniques
- Privacy, Security, and Data Protection
Shanxi University
2021-2024
Sun Yat-sen University
2021-2022
Jiangsu Ocean University
2015
Hanjin Heavy Industries (South Korea)
2014
Pre-hospitalisation, hospitalisation and post-hospitalisation factors may significantly affect depression, anxiety post-traumatic growth (PTG) among COVID-19 survivors. Our study investigated PTG their correlates A cross-sectional telephone survey recruited 199 patients (Mean age = 42.7; 53.3% females) at six-month follow-up after hospital discharge in five Chinese cities (i.e. Wuhan, Shenzhen, Zhuhai, Dongguan Nanning). Their demographic information, clinical records experiences during...
COVID-19 survivors who had acute respiratory symptoms might experience prolonged post-traumatic stress disorder (PTSD) due to further rehabilitation, somatic and related distress. The conservation of resource (COR) theory is a well-developed understand how people develop PTSD in traumatic events. current study aimed examine the potential factors interrelationships among this based on COR theory. This cross-sectional telephone survey enrolled 199 patients (Mean age = 42.7; 53.3% females) 6...
Background As a highly infectious disease with human-to-human transmission characteristics, COVID-19 has caused panic in the general public. Those who have recovered from may experience discrimination and internalized stigma. They be more likely to worry about social interaction develop anxiety.Objectives This study investigated associations among hospitalization factors, social/interpersonal personal anxiety reveal mechanism of survivors.Methods A cross-sectional, multicenter telephone...
Understanding factors associated with post-discharge sleep quality among COVID-19 survivors is important for intervention development.This study investigated and its correlates patients 6 months after their most recent hospital discharge.Healthcare providers at hospitals located in five different Chinese cities contacted adult discharged between 1 February 30 March 2020. A total of 199 eligible provided verbal informed consent completed the interview. Using score on single-item Sleep Quality...
Background Men who have sex with men (MSM) are at high risk for HIV infection. Accurate estimation of the population size and monitoring sexual behavioral change MSM is great importance to develop targeted prevention interventions. Objective The goal research was accurate MSM. Methods Street interception investigation methods were conducted among males aged 16 years older in selected sites Shenzhen 2014 2019. A survey used estimate Logistic regression analysis applied evaluate difference...
Psychiatric diagnoses based on clinical manifestations are prone to be inaccurate. Schizophrenia (SZ) and autism spectrum disorder (ASD) were historically considered as the same disorder, they still have many overlaps of symptoms in current standard. Therefore, there is an urgent need explore potential biotypes for them using neuroimaging measures such brain functional connectivity (FC). However, previous studies not effectively leveraged FC detecting biotypes. Considering that graph theory...
Psychiatric disorders exhibit extremely high heterogeneity, thus making accurate diagnosis and timely treatment challenging. Numerous neuroimaging studies have revealed abnormal changes in brain functional connectivity among patients with psychiatric disorders. To better understand the complexity of these disorders, researchers explored hypergraph-based methods. Using magnetic resonance imaging data hypergraph theory, modeled analyzed hypernetworks to classify identify associated biomarkers....
Symptoms overlap among different types of psychiatric disorder, which makes diagnosis challenging. There has been evidence that exploring new biotypes may help solve the problem. Using neuroimaging data, clustering technique applied to identify biotypes, however deep learning not well studied for this goal. Here, we propose a semi-supervised method, takes full advantage slight amount labeled samples adaptively extract useful information from unlabeled with high confidence level facilitate...
aSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen bAlibaba Research Center, Alibaba Information Technology Limited, Beijing, China cKirby Institute, University New South Wales, Sydney, Australia. Correspondence to Huachun Zou, 74 Zhongshan 2nd Road, Yuexiu District, Guangzhou, Guangdong 510085, China. Tel: +86 20 87335651; e-mail: [email protected] Received 16 September, 2020 Revised 12 November, Accepted 17
It is difficult to distinguish schizophrenia (SZ) and bipolar disorder with psychosis (BPP) due their overlapping symptoms. Indeed, there has been evidence supporting different subtypes within them. Data-driven clustering approaches are commonly used explore biologically meaningful biotypes using neuroimaging features. However, previous studies typically consider pair-wise subject relationships. Here, we propose a hypergraph method biotypes. Our extracts high-order features via hyperedges...