Medicine and Health Sciences Commons^™

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. …

Re-Imaging The Future In Urban Studies And Built Environment Discourse: A Neurourbanism Perspective, Emeka Ndaguba, Jua Cilliers, Sijekula Mbanga, Kerry Brown, Sumita Ghosh

Research outputs 2022 to 2026

Neurological constructs are being applied in various fields; within urban studies and built environments, neurourbanism stands out. To understand this concept, this study seeks to conduct a scientometric analysis of the concept of neurourbanism. To do so, we gauged the intellectual structure and clarified the influencers and emerging themes while seeking to identify essential gaps in neurourbanism research in urban studies and the built environment. Data were sorted from Dimensions Artificial Intelligence platform because of its reliability in providing the needed dataset accurately, and the Citespace software was used to analyze the data. Our results suggest plurality in explaining the …

Parents' Experiences Of Children With A Rare Disease Attending A Mainstream School: Australia, Mandie Foster, Esther Adama, Diana Arabiat, Kevin Runions, Rena Vithiatharan, Maggie Zgambo, Ashleigh Lin

Research outputs 2022 to 2026

Purpose:

To explore the perceptions of parents who had a child or adolescent (6-18 years) diagnosed with a rare disease who attended a mainstream school in Western Australia.

Design and methods:

A cross-sectional online survey was conducted with 41 parents of children with a rare disease. Here we report the findings of 14 open-ended questions on their experience of illness-related factors and impact on school-related social activities, such as sports, school camps and leadership roles whilst their child with a rare disease attended a mainstream school in Australia. Responses were analysed using an inductive thematic content approach.

Results:

We identified …

Effects Of A Nurse-Led Tai Chi Programme On Improving Quality Of Life, Mental Wellbeing, And Physical Function Of Women With Breast Cancer: Protocol For A Randomized Controlled Trial, Carol Chunfeng Wang, Sadie Geraghty, Caitlin Fox-Harding, Calvin Wang

Research outputs 2022 to 2026

Objectives:

Quality of life, mental wellbeing, and physical function deteriorate among women with breast cancer. Tai Chi is a moderate form of exercise that may be effective in improving the mental and physical wellbeing, therefore, the quality of life of women with breast cancer. This protocol paper outlines a trial to determine the therapeutic effects of a Tai Chi programme on breast cancer management.

Methods:

The study will be an interventional, single-blind, double-armed, randomized, and controlled trial involving a 12-week Tai Chi programme for women with breast cancer. Forty participants aged 18 years and above who are diagnosed with breast …