swin-psaxialnet-an-efficient-multi-organ-segmentation-technique

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Abdominal multi-organ segmentation is one of the most important topics in the field of medical image analysis, and it plays an important role in ...

Nantong University

Reform of the health care system in China has prompted concerns about the utilization of mental health services. This study aims to compare the utilization of mental health services among inpatients in various types of health institutions in Shanghai (community health care centres, secondary general hospitals, tertiary general hospitals, and specialty hospitals).

Disparities in mental health care utilization among inpatients in various types of health institutions: a cross-sectional study based on EHR data in Shanghai, China.

Given the rapid increase in chronic disease epidemics in developing countries and the lagging research and practice in evidence-based chronic diseases prevention (EBCDP), we evaluated the status of public health practitioners' implementation of EBCDP and its impeding factors in China, as well as made a comparison between China and the developed countries to encourage better utilisation of this new field of science in China.

Status of evidence-based chronic diseases prevention implementation in Shanghai, China: A qualitative study.

The prevention of hypertension in primary care requires an effective and suitable hypertension risk assessment model. The aim of this study was to develop and compare the performances of three machine learning algorithms in predicting the risk of hypertension for residents in primary care in Shanghai, China.

Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms.

Virtual reality based physical stress (VRPS) paradigms could eliminate the influence of social factors on participants, and it may be a desirable tool to explore the impact of personality traits on stress levels. In this study, we attempt to explore the effects of VRPS on stress response among individuals with different personality traits. Forty male participants with an average age of 22.79 ± 0.41 years were divided into two groups based on Harm Avoidance (HA) scores of Tridimensional Personality Questionnaire (TPQ), referred to as the Low-HA group and the High-HA group. The stress levels of the participants were assessed using salivary α-amylase (sAA) activity and heart rate variability (HRV) indices pre- and post-stress. The influence of personality traits on stress response among different groups was analyzed. VRPS significantly affected the sAA activity and HRV indicators of both groups. During and after stress, there were significant differences in sAA activity and HRV indicators between the two groups. The sAA levels and HRV indices of the Low-HA group were lower than those of the High-HA group. Furthermore, sAA levels and HRV indices were correlated with the scores of TPQ. VRPS scenarios elicit different stress responses on individuals with different harm avoidance personality traits. Stress evaluation based on VR scenarios presents potential in personality trait assessments, particularly for distinguishing between individuals with low and high HA tendencies.

Article	Year
Disparities in mental health care utilization among inpatients in various types of health institutions: a cross-sectional study based on EHR data in Shanghai, China. BMC public health\| PubMed ID: 31366334	2019
Status of evidence-based chronic diseases prevention implementation in Shanghai, China: A qualitative study. The International journal of health planning and management\| PubMed ID: 31368209	2019
Evaluating the risk of hypertension in residents in primary care in Shanghai, China with machine learning algorithms. Frontiers in public health\| PubMed ID: 36267989	2022
The impact of virtual reality scenes on stress response characteristics of individuals with different personality traits. Stress (Amsterdam, Netherlands)\| PubMed ID: 38807493	2024

Zhaoxin Wang

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