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Full-Text Articles in Medicine and Health Sciences
Data Driven Classification Of Opioid Patients Using Machine Learning - An Investigation, Saddam Al Amin, Md Saddam Hossain Mukta, Md Sezan Mahmud Saikat, Md Ismail Hossain, Md Adnanul Islam, Mohiuddin Ahmed, Sami Azam
Data Driven Classification Of Opioid Patients Using Machine Learning - An Investigation, Saddam Al Amin, Md Saddam Hossain Mukta, Md Sezan Mahmud Saikat, Md Ismail Hossain, Md Adnanul Islam, Mohiuddin Ahmed, Sami Azam
Research outputs 2022 to 2026
The opioid crisis has led to an increased number of drug overdoses in recent years. Several approaches have been established to predict opioid prescription by health practitioners. However, due to the complex nature of the problem, the accuracy of such methods is not yet satisfactory. Dependable and reliable classification of opioid dependent patients from well-grounded data sources is essential. Majority of the previous studies do not focus on the users’ mental health association for opioid intake classification. These studies do not also employ the latest deep learning based techniques such as attention and knowledge distillation mechanism to find better insights. …
The Quality Of Life Of Regional And Remote Cancer Caregivers In Australia, Belinda C. Goodwin, Fiona Crawford-Williams, Michael Ireland, Sonja March, Suzanne K. Chambers, Joanne F. Aitken, Jeff Dunn
The Quality Of Life Of Regional And Remote Cancer Caregivers In Australia, Belinda C. Goodwin, Fiona Crawford-Williams, Michael Ireland, Sonja March, Suzanne K. Chambers, Joanne F. Aitken, Jeff Dunn
Research outputs 2022 to 2026
Objective: This study compares the well-being of rural caregivers with that of the general population and explores the potential drivers of poorer outcomes. Method: Patient–caregiver dyads (n = 241) residing in regional or remote Queensland, Australia, reported on QoL, chronic illness, caregiver burden, depression, anxiety and stress. Caregiver outcomes were compared with population norms and patient outcomes. Multiple regressions were conducted to identify factors associated with poorer caregiver outcomes. Results: Caregivers reported lower mental health-related QoL (M = 0.436, 95% CI = 0.410–0.462) in comparison with age-matched population norms (M = 0.556, 95% CI = 0.532–0.580). No differences existed between …
Light Acupuncture And Five-Element Music Therapy For Nurses' Mental Health And Well-Being During And Post-Covid-19: Protocol For A Randomised Cross-Over Feasibility Study, Carol Chunfeng Wang, Johnny Lo, Rosemary Saunders, Esther Adama, Caroline Bulsara, Christopher Etherton-Beer, Angela Wei Hong Yang
Light Acupuncture And Five-Element Music Therapy For Nurses' Mental Health And Well-Being During And Post-Covid-19: Protocol For A Randomised Cross-Over Feasibility Study, Carol Chunfeng Wang, Johnny Lo, Rosemary Saunders, Esther Adama, Caroline Bulsara, Christopher Etherton-Beer, Angela Wei Hong Yang
Research outputs 2022 to 2026
INTRODUCTION: Australian nurses have experienced higher levels of anxiety during the COVID-19 pandemic compared with the prepandemic. This may have affected their long-term mental health and intention to stay in the profession resulting in a workforce shortage, which further impacts the health of the public. Management is urgently required to improve nurses' well-being. However, there is limited evidence available. The proposed clinical trial aims to evaluate the feasibility and therapeutic effects of using a combination of light acupuncture and five-element music therapy to improve nurses' mental health and well-being during and post-COVID-19. METHODS AND ANALYSIS: This randomised, single blinding, two-arm …
The Therapeutic Effect Of Exogenous Melatonin On Depressive Symptoms: A Systematic Review And Meta-Analysis, Cancan Li, Dandan Ma, Min Li, Tao Wei, Xuan Zhao, Yuanyuan Heng, Delong Ma, Enoch Odame Anto, Yanbo Zhang, Mingyun Niu, Wangxin Zhang
The Therapeutic Effect Of Exogenous Melatonin On Depressive Symptoms: A Systematic Review And Meta-Analysis, Cancan Li, Dandan Ma, Min Li, Tao Wei, Xuan Zhao, Yuanyuan Heng, Delong Ma, Enoch Odame Anto, Yanbo Zhang, Mingyun Niu, Wangxin Zhang
Research outputs 2022 to 2026
Background: Depression-related mortality and morbidity pose growing public health burdens worldwide. Although the therapeutic effect of exogenous melatonin on depression has been investigated, findings remain inconsistent. We conducted this systematic review and meta-analysis to clarify the effectiveness of melatonin in the treatment of depression, including primary and secondary depression symptoms. Methods: We searched the online databases of PubMed, EMBASE, and the Cochrane Library for original studies published up to May 2021. We used STATA 14.0 software to synthesize the results of included studies. To evaluate the effectiveness of melatonin, we calculated the standardized mean differences (SMDs) and 95% confidence intervals …