420311. Health systems
| Title | 420311. Health systems |
|---|---|
| Parent | 4203. Health services and systems |
Latest research outputs
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Co-creating an Indigenous-led virtual health services model for Indigenous Australians living with chronic disease
Nasir, Bushra Farah, MacAskill, William, Leedie, Floyd, Martin, Priya, Alam, Khorshed, Wallis, Katharine, McGrail, Matthew and Kondalsamy-Chennakesavan, Srinivas. 2025. "Co-creating an Indigenous-led virtual health services model for Indigenous Australians living with chronic disease." Australian Journal of Rural Health. 33 (1). https://doi.org/10.1111/ajr.13206Article
Disparities in Global Authorship and Data Source in the Pediatric Blood and Cancer Journal 2011-2021: Realities and Strategies for Improvement
Burns, Kathryn, Martiniuk, Alexandra, Islam, Md Irteja, Opoku, Dominic Agyemang, Luo, Yuanhui., Malahlela, Dorcas, Pickard, Anita, Sniderman, Elizabeth and Challinor, Julia. 2025. "Disparities in Global Authorship and Data Source in the Pediatric Blood and Cancer Journal 2011-2021: Realities and Strategies for Improvement." Pediatric Blood and Cancer. 72 (2). https://doi.org/10.1002/pbc.31413Article
"I Know the Degradation, the Humiliation around Being Incarcerated and Ostracized, and Marginalized, and Sexualized"
Phillips, Tania, Clark, Kirsty A., Bromdal, Annette, Mullens, Amy, Sanders, Tait, Halliwell, Sherree, Gildersleeve, Jessica, Daken, Kirstie, Debattista, Joseph, du Plessis, Carol, Simpson, Paul and Hughto, Jaclyn M.W.. 2025. ""I Know the Degradation, the Humiliation around Being Incarcerated and Ostracized, and Marginalized, and Sexualized"." Maycock, Matthew, O‘Shea, Saoirse and Jenness, Valerie (ed.) Transgender People Involved with Carceral Systems: International Perspectives. United Kingdom. Routledge. pp. 21-45Edited book (chapter)
Directed Lobish-based explainable feature engineering model with TTPat and CWINCA for EEG artifact classification
Tuncer, Turker, Dogan, Sengul, Baygin, Mehmet, Tasci, Irem, Mungen, Bulent, Tasci, Burak, Barua, Prabal Datta and Acharya, U.R.. 2024. "Directed Lobish-based explainable feature engineering model with TTPat and CWINCA for EEG artifact classification." Knowledge-Based Systems. 305. https://doi.org/10.1016/j.knosys.2024.112555Article
Thriving Beyond Adversity: A Prospective Longitudinal Cohort Study Using a Strength-Based Approach Depicts Indigenous Adolescents with Less Adverse Childhood Experiences (ACEs) Had Fewer Neurodevelopmental Disorders (NDDs)
Islam, Md Irteja, Lam, Bernadette Yan Yue, Esgin, Tuguy and Martiniuk, Alexandra. 2024. "Thriving Beyond Adversity: A Prospective Longitudinal Cohort Study Using a Strength-Based Approach Depicts Indigenous Adolescents with Less Adverse Childhood Experiences (ACEs) Had Fewer Neurodevelopmental Disorders (NDDs)." Behavioral Sciences. 14 (11). https://doi.org/10.3390/bs14111047Article
Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies
Akpinar, Muhammed Halil, Sengur, Abdulkadir, Salvi, Massimo, Seoni, Silvia, Faust, Oliver, Mir, Hasan, Molinari,Filippo and Acharya, U. Rajendra. 2024. "Synthetic Data Generation via Generative Adversarial Networks in Healthcare: A Systematic Review of Image- and Signal-Based Studies." IEEE Open Journal of Engineering in Medicine and Biology. 6, pp. 183-192. https://doi.org/10.1109/OJEMB.2024.3508472Article
RECOMED: A comprehensive pharmaceutical recommendation system
Zomorodi, Mariam, Ghodsollahee, Ismail, Martin, Jennifer H, Talley, Nicholas J, Salari, Vahid, Pławiak, Paweł, Rahimi, Kazem and Acharya, U.R.. 2024. "RECOMED: A comprehensive pharmaceutical recommendation system." Artificial Intelligence in Medicine. 157. https://doi.org/10.1016/j.artmed.2024.102981Article
Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade
Abdollahi, Mirsaeed, Jafarizadeh, Ali, Ghafouri-Asbagh, Amirhosein, Sobhi, Navid, Pourmoghtader, Keysan, Pedrammehr, Siamak, Asadi, Houshyar, Tan, Ru-San, Alizadehsani, Roohallah and Acharya, U. Rajendra. 2024. "Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade." WIREs Data Mining and Knowledge Discovery. 14 (6). https://doi.org/10.1002/widm.1560Article
A Pragmatic Approach to Fetal Monitoring via Cardiotocography Using Feature Elimination and Hyperparameter Optimization
Hardalac, Firat, Akmal, Haad, Ayturan, Kubilay, Acharya, U. Rajendra and Tan, Ru-San. 2024. "A Pragmatic Approach to Fetal Monitoring via Cardiotocography Using Feature Elimination and Hyperparameter Optimization." Interdisciplinary Sciences: Computational Life Sciences. 16 (4), pp. 882-906. https://doi.org/10.1007/s12539-024-00647-6Article
Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review
Gudigar, Anjan, Raghavendra, U., Maithri, M., Samanth, Jyothi, Inamdar, Mahesh Anil, Vidhya, V., Vicnesh, Jahmunah, Prabhu, Mukund A., Tan, Ru-San, Yeong, Chai Hong, Molinari, Filippo and Acharya, U. R.. 2024. "Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review." IEEE Access. 12, pp. 138399-138428. https://doi.org/10.1109/ACCESS.2024.3465511Article
Assessing drug-resistant tuberculosis stigma among healthcare workers in the Philippines
Liboon, Lolita S. 2024. Assessing drug-resistant tuberculosis stigma among healthcare workers in the Philippines. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/zqyq7PhD by Publication
A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology
Salvi, Massimo, Mogetta, Alessandro, Raghavendra, U., Gudigar, Anjan, Acharya, U. Rajendra and Molinari, Filippo. 2024. "A dynamic uncertainty-aware ensemble model: Application to lung cancer segmentation in digital pathology." Applied Soft Computing. 165. https://doi.org/10.1016/j.asoc.2024.112081Article
Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients
Oztekin, Pelin Seher, Katar, Oguzhan, Omma, Tulay, Erel, Serap, Tokur, Oguzhan, Avci, Derya, Aydogan, Murat, Yildirim, Ozal, Avci, Engin and Acharya, U. Rajendra. 2024. "Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients." Journal of Ultrasound in Medicine. 43 (11), pp. 2051-2068. https://doi.org/10.1002/jum.16535Article
Automated explainable wavelet-based sleep scoring system for a population suspected with insomnia, apnea and periodic leg movement
Ingle, Manisha, Sharma, Manish, Verma, Shresth, Sharma, Nishant, Bhurane, Ankit and Acharya, U. Rajendra. 2024. "Automated explainable wavelet-based sleep scoring system for a population suspected with insomnia, apnea and periodic leg movement." Medical Engineering and Physics. 130. https://doi.org/10.1016/j.medengphy.2024.104208Article
N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals
Barua, Prabal Datta, Tuncer, Turker, Baygin, Mehmet, Dogan, Sengul and Acharya, U. Rajendra. 2024. "N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals." Knowledge-Based Systems. 304. https://doi.org/10.1016/j.knosys.2024.112510Article
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Atmakuru, Anirudh, Chakraborty, Subrata, Faust, Oliver, Salvi, Massimo, Barua, Prabal Datta, Molinari, Filippo, Acharya, U.R. and Homaira, Nusrat. 2024. "Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques." Expert Systems with Applications. 255 (Part B). https://doi.org/10.1016/j.eswa.2024.124665Article
Interpretation of Artificial Intelligence Models in Healthcare: A Pictorial Guide for Clinicians
Ardakani, Ali Abbasian, Airom, Omid, Khorshidi, Hamid, Bureau, Nathalie J., Salvi, Massimo, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Interpretation of Artificial Intelligence Models in Healthcare: A Pictorial Guide for Clinicians." Journal of Ultrasound in Medicine. 43 (10), pp. 1789-1818. https://doi.org/10.1002/jum.16524Article
ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration
Kasmaee, Adele Mirzaee Moghaddam, Ataei, Alireza, Moravvej, Seyed Vahid, Alizadehsani, Roohallah, Gorriz, Juan M, Zhang, Yu-Dong, Tan, Ru-San and Acharya, U Rajendra A. 2024. "ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration." Physiological Measurement. 45 (5). https://doi.org/10.1088/1361-6579/ad46e2Article
Lattice 123 pattern for automated Alzheimer's detection using EEG signal
Dogan, Sengul, Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San, Ciaccio, Edward J., Fujita, Hamido, Devi, Aruna and Acharya, U. Rajendra. 2024. "Lattice 123 pattern for automated Alzheimer's detection using EEG signal." Cognitive Neurodynamics. 18, pp. 2503-2519. https://doi.org/10.1007/s11571-024-10104-1Article
A lightweight deep convolutional neural network model for skin cancer image classification
Tuncer, Turker, Barua, Prabal Datta, Tuncer, Ilknur, Dogan, Sengul and Acharya, U. Rajendra. 2024. "A lightweight deep convolutional neural network model for skin cancer image classification." Applied Soft Computing. 162. https://doi.org/10.1016/j.asoc.2024.111794Article
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
Seoni, Silvia, Shahini, Alen, Meiburger, Kristen M., Marzola, Francesco, Rotunno, Giulia, Acharya, U. Rajendra, Molinari, Filippo and Salvi, Massimo. 2024. "All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems." Computer Methods and Programs in Biomedicine. 250. https://doi.org/10.1016/j.cmpb.2024.108200Article
Role of internet use, mobile phone, media exposure and domestic migration on reproductive health service use in Bangladeshi married adolescents and young women
Pickard, Anita, Islam, Md Irteja, Ahmed, Md Sabbir and Martiniuk, Alexandra. 2024. "Role of internet use, mobile phone, media exposure and domestic migration on reproductive health service use in Bangladeshi married adolescents and young women." PLoS Global Public Health. 4 (3). https://doi.org/10.1371/journal.pgph.0002518Article
A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals
Delfan, Niloufar, Shahsavari, Mohammadreza, Hussain, Sadiq, Damaševičius, Robertas and Acharya, U. Rajendra. 2024. "A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals." International Journal of Imaging Systems and Technology. 34 (4). https://doi.org/10.1002/ima.23120Article
Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds
Barua, Prabal Datta, Keles, Tugce, Kuluozturk, Mutlu, Kobat, Mehmet Ali, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendr. 2024. "Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds." Neural Computing and Applications. 36 (27), pp. 16857-16871. https://doi.org/10.1007/s00521-024-09895-5Article
Enablers and Barriers in Community Paramedicine Programs in Australia and Aotearoa New Zealand: Insights for their evolution
Miles, Alecka, Shannon, Brendan, O'Meara, Peter, Long, David and Martin, Angela. 2024. "Enablers and Barriers in Community Paramedicine Programs in Australia and Aotearoa New Zealand: Insights for their evolution." Australasian College of Paramedicine International Conference 2023. Melbourne, Australia 14 - 15 Sep 2023 United Kingdom . SAGE Publications Ltd.Presentation
Automated detection and forecasting of COVID-19 using deep learning techniques: A review
Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Ghassemi, Navid, Sadeghi, Delaram, Moridian, Parisa, Khadem, Ali, Alizadehsani, Roohallah, Hussain, Sadiq, Zare, Assef, Sani, Zahra Alizadeh, Khozeimeh, Fahime, Nahavandi, Saeid, Acharya, U. Rajendra and Gorriz, Juan M.. 2024. "Automated detection and forecasting of COVID-19 using deep learning techniques: A review." Neurocomputing. 577. https://doi.org/10.1016/j.neucom.2024.127317Article
Automated accurate insomnia detection system using wavelet scattering method using ECG signals
Sharma, Nishant, Sharma, Manish, Telangore, Hardik and Acharya, U Rajendra. 2024. "Automated accurate insomnia detection system using wavelet scattering method using ECG signals." Applied Intelligence. 54 (4), pp. 3464-3481. https://doi.org/10.1007/s10489-024-05284-6Article
Multi-modality approaches for medical support systems: A systematic review of the last decade
Salvi, Massimo, Loh, Hui Wen, Seoni, Silvia, Barua, Prabal Datta, García, Salvador, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Multi-modality approaches for medical support systems: A systematic review of the last decade." Information Fusion. 103. https://doi.org/10.1016/j.inffus.2023.102134Article
Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space
Fallahpoor, Maryam, Chakraborty, Subrata, Pradhan, Biswajeet, Faust, Oliver, Barua, Prabal Datta, Chegeni, Hossein and Acharya, Rajendra. 2024. "Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space." Computer Methods and Programs in Biomedicine. 243. https://doi.org/10.1016/j.cmpb.2023.107880Article
ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals
El-Dahshan, El-Sayed A., Bassiouni, Mahmoud M., Khare, Smith K., Tan, Ru-San and Acharya, U. Rajendra. 2024. "ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals." Expert Systems with Applications. 239. https://doi.org/10.1016/j.eswa.2023.122388Article
Alzheimer's disease prediction algorithm based on de-correlation constraint and multi-modal feature interaction
Cheng, Jiayuan, Wang, Huabin, Wei, Shicheng, Mei, Jiahao, Liu, Fei and Zhang, Gong. 2024. "Alzheimer's disease prediction algorithm based on de-correlation constraint and multi-modal feature interaction." Computers in Biology and Medicine. 170. https://doi.org/10.1016/j.compbiomed.2024.108000Article
Paediatric Emergency Asthma Presentations: Temporal Trends and Representations in Rural Australia
Terry, Daniel, Peck, Blake and Kloot, Kate. 2023. "Paediatric Emergency Asthma Presentations: Temporal Trends and Representations in Rural Australia ." Healthcare. 11 (24). https://doi.org/10.3390/healthcare11243113Article
Nursing in the Anthropocene–translating disaster nursing experience into climate crisis nurse education
Richards, Catelyn, Holmes, Mark, Nash, Rose and Ward, Aletha. 2023. "Nursing in the Anthropocene–translating disaster nursing experience into climate crisis nurse education." Teaching and Learning in Nursing. 18 (3), pp. e113-e121. https://doi.org/10.1016/j.teln.2023.03.017Article
A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images
Inamdar, Mahesh Anil, Raghavendra, U., Gudigar, Anjan, Bhandary, Sarvesh, Salvi, Massimo, Deo, Ravinesh C., Barua, Prabal Datta, Ciaccio, Edward J., Molinari, Filippo and Acharya, RU. Rajendra. 2023. "A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images." IEEE Access. 11, pp. 108982-108994. https://doi.org/10.1109/ACCESS.2023.3321273Article
Doctor Repeats of Patient Responses in Vietnamese Medical Consultations
Nguyen, Hương Thị Linh and Austin, Gavin. 2023. "Doctor Repeats of Patient Responses in Vietnamese Medical Consultations." Theory and Practice in Language Studies. 13 (4), pp. 809-821. https://doi.org/10.17507/tpls.1304.01Article
A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia
Schmierer, Thomas, Li, Tianning and Li, Yan. 2022. "A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia." Health Information Science and Systems. 10 (1), pp. 1-14. https://doi.org/10.1007/s13755-022-00178-8Article
Bullying, discrimination, and sexual harassment among intensive care unit nurses in Australia and New Zealand: An online survey
Parke, Rachael, Bates, Samantha, Carey, Melissa, Cavadino, Alana, Ferguson, Adele, Hammond, Naomi, Joyce, Fiona, Kirby, Steve, Moeke-Maxwell, Tess, Nona, Francis and Mason, Kathleen. 2023. "Bullying, discrimination, and sexual harassment among intensive care unit nurses in Australia and New Zealand: An online survey." Australian Critical Care. 36 (1), pp. 10-18. https://doi.org/10.1016/j.aucc.2022.08.010Article
Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare
Salman, Muhammad, Munawar, Hafiz Suliman, Latif, Khalid, Akram, Muhammad Waseem, Khan, Sara Imran and Ullah, Fahim. 2022. "Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare." Big Data and Cognitive Computing. 6 (1), pp. 1-17. https://doi.org/10.3390/bdcc6010030Article
Address an unmet need: establishing the prevalence of metabolic syndrome in Darling Down region
Gardiner, P., Aung, N., Ng, L., Stolic, S., Bliss, E., Gyawali, P. and Roberts, M.. 2022. "Address an unmet need: establishing the prevalence of metabolic syndrome in Darling Down region." Toowoomba, Darling Downs Health Services Research Symposium.Presentation
Exploration of clinicians’ decision-making regarding transfer of patient care from the emergency department to a medical assessment unit: A qualitative study
Osborne, Sonya R., Cleak, Helen and de Looze, Julian W. M.. 2022. "Exploration of clinicians’ decision-making regarding transfer of patient care from the emergency department to a medical assessment unit: A qualitative study ." PLoS One. 17 (2), pp. 1-23. https://doi.org/10.1371/journal.pone.0263235Article