420308. Health informatics and information systems
| Title | 420308. Health informatics and information systems |
|---|---|
| Parent | 4203. Health services and systems |
Latest research outputs
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A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning
Nematollahi, Mohammad Ali, Askarinejad, Amir, Asadollahi, Arefeh, Bazrafshan, Mehdi, Sarejloo, Shirin, Moghadami, Mana, Sasannia, Sarvin, Farjam, Mojtaba, Homayounfar, Reza, Pezeshki, Babak, Amini, Mitra, Roshanzamir, Mohamad, Alizadehsani, Roohallah, Bazrafshan, Hanieh, Bazrafshan drissi, Hamed, Tan, Ru-San, Acharya, U. Rajendra and Islam, Mohammed Shariful Sheikh. 2024. "A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning." Journal of Diabetes and Metabolic Disorders. 23 (1), pp. 773-781. https://doi.org/10.1007/s40200-023-01350-xArticle
A comparative study of supervised machine learning techniques for diagnosing mode of delivery in medical sciences
Hussain, Syeda Sajida, Riaz, Rabia, Fatima, Tooba, Rizvi, Sanam Shehla, Riaz, Farina and Kwon, Se Jin. 2019. "A comparative study of supervised machine learning techniques for diagnosing mode of delivery in medical sciences." International Journal of Advanced Computer Science and Applications. 10 (12), pp. 120-125. https://doi.org/10.14569/IJACSA.2019.0101216Article
A novel genetic algorithm based system for the scheduling of medical treatments
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Zhou, Xujuan and Acharya, Udyavara Rajendra. 2022. "A novel genetic algorithm based system for the scheduling of medical treatments." Expert Systems with Applications. 195, pp. 1-12. https://doi.org/10.1016/j.eswa.2021.116464Article
A survey of mHealth use from a physician perspective in paediatric emergency care in the UK and Ireland
Jahn, Haiko Kurt, Jahn, Ingo Henry Johannes, Behringer, Wilhelm, Lyttle, Mark D., Roland, Damian and Paediatric Emergency Research in the United Kingdom. 2021. "A survey of mHealth use from a physician perspective in paediatric emergency care in the UK and Ireland ." European Journal of Pediatrics. 180 (8), pp. 2409-2418. https://doi.org/10.1007/s00431-021-04023-0Article
A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
Ali, Omar, Abdelbaki, Wiem, Shrestha, Anup, Elbasi, Ersin, Ali, Mohammad Abdallah and Dwivedi, Yogesh K. 2023. "A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities." Journal of Innovation and Knowledge. 8 (1). https://doi.org/10.1016/j.jik.2023.100333Article
Accumulating the key proteomic signatures associated with delirium: Evidence from systematic review
Mosharaf, Md Parvez, Alam, Khorshed, Gow, Jeff and Mahumud, Rashidul Alam. 2024. "Accumulating the key proteomic signatures associated with delirium: Evidence from systematic review." PLoS One. 19 (12). https://doi.org/10.1371/journal.pone.0309827Article
Aged care informatics: exploring the role of information, knowledge and aged care management
Hume, Margee, Soar, Jeffrey, Whitty, S. Jonathan, Hume, Craig, El Sayed, Faeka and Johnston, Paul. 2014. "Aged care informatics: exploring the role of information, knowledge and aged care management." International Journal of Enterprise Information Systems. 10 (2), pp. 1-20. https://doi.org/10.4018/ijeis.2014040101Article
Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005–2023)
Zamanian, H., Shalbaf, A., Zali, M.R., Khalaj, A.R., Dehghan, P., Tabesh, M., Hatami, B., Alizadehsani, R., Tan, Ru-San and Acharya, U. Rajendra. 2024. "Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005–2023)." Computer Methods and Programs in Biomedicine. 244. https://doi.org/10.1016/j.cmpb.2023.107932Article
Applications of the cumulative rate to kidney cancer statistics in Australia
Brennan, Janelle, Chan, K. C., Kippen, Rebecca, Lenard, C. T., Mills, T. M. and Williams, Ruth F. G.. 2018. "Applications of the cumulative rate to kidney cancer statistics in Australia." Skiadas, Christos H. and Skiadas, Charilaos (ed.) Demography and health issues: Population aging, mortality and data analysis. Chan, Switzerland. Springer. pp. 97-106Edited book (chapter)
Applications of the cumulative rate to kidney cancer statistics in Australia
Brennan, Janelle, Chan, K. C., Kippen, Rebecca, Lenard, C. T., Mills, T. M. and Williams, Ruth F. G.. 2016. "Applications of the cumulative rate to kidney cancer statistics in Australia." Skiadas, Christos H. (ed.) 4th Stochastic Modeling Techniques and Data Analysis International Conference with Demographics Workshop (SMTDA 2016). Valletta, Malta 01 - 04 Jun 2016Paper
Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023)
Naderi Yaghouti, Amir Reza, Shalbaf, Ahmad, Alizadehsani, Roohallah, Tan, Ru-San, Vijayananthan, Anushya, Yeong, Chai Hong and Acharya, U. Rajendra. 2025. "Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023)." Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-025-10268-xArticle
Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)
Akpinar, Muhammed Halil, Sengur, Abdulkadir, Faust, Oliver, Tong, Louis, Molinari, Filippo and Acharya, U. Rajendra. 2024. "Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)." Computer Methods and Programs in Biomedicine. 254. https://doi.org/10.1016/j.cmpb.2024.108253Article
Assessing the Impact of Innovation Processes on Electronic Systems Technology Adoption
Ouheda, Salem, Murray, Peter A., Alam, Khorshed and Ali, Omar. 2024. "Assessing the Impact of Innovation Processes on Electronic Systems Technology Adoption." Emerging Science Journal. 8 (5), pp. 1697-1715. https://doi.org/10.28991/ESJ-2024-08-05-02Article
Attitudes of Australian nurses to information technology in the workplace: A national survey
Eley, Robert, Soar, Jeffrey, Buikstra, Elizabeth, Fallon, Tony and Hegney, Desley. 2009. "Attitudes of Australian nurses to information technology in the workplace: A national survey." CIN: Computers, Informatics, Nursing. 27 (2), pp. 114-121. https://doi.org/10.1097/NCN.0b013e318197557eArticle
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach
Sharifrazi, Danial, Javed, Nouman, Alizadehsani, Roohallah, Paradkar, Prasad N., Acharya, U. Rajendra and Bhatti, Asim. 2024. "Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach." Biomedical Signal Processing and Control. 96 (Part B). https://doi.org/10.1016/j.bspc.2024.106594Article
Barriers to the inclusion of wireless technology in aged care applications - a review
Gururajan, Raj, Howard, Srecko, Genrich, Rohan and Low, Ee Kuan. 2004. "Barriers to the inclusion of wireless technology in aged care applications - a review." Conrick, Moya and Soar, Jeffrey (ed.) 1st Australian Aged and Community Care Informatics Conference (ACCIC'04). Brisbane, Australia 24 - 25 Aug 2004 Brunswick East, Australia.Paper
Bowel cancer demographics
Chan, K. C., Lenard, C. T., Mills, T. M. and Williams, Ruth F. G.. 2015. "Bowel cancer demographics." Karagrigoriou, Alex, Oliveira, Teresa and Skiadas, Christos H. (ed.) Statistical, stochastic and data analysis methods and applications. Greece. International Society for the Advancement of Science and Technology. pp. 159-171Edited book (chapter)
BrainNeXt: novel lightweight CNN model for the automated detection of brain disorders using MRI images
Poyraz, Melahat, Poyraz, Ahmet Kursad, Dogan, Yusuf, Gunes, Selva, Mir, Hasan S., Paul, Jose Kunnel, Barua, Prabal Datta, Baygin, Mehmet, Dogan, Sengul, Tuncer, Turker, Molinari, Filippo and Acharya, Rajendra. 2025. "BrainNeXt: novel lightweight CNN model for the automated detection of brain disorders using MRI images." Cognitive Neurodynamics. 19 (1). https://doi.org/10.1007/s11571-025-10235-zArticle
Building an information quality lab on e-health in the rural areas for healthcare education
Su, Ying and Soar, Jeffrey. 2010. "Building an information quality lab on e-health in the rural areas for healthcare education." Tan, Honghua (ed.) EDT 2010: International Conference on E-Health Networking, Digital Ecosystems and Technologies. Shenzhen, China 17 - 18 Apr 2010 Piscataway, NJ. United States. https://doi.org/10.1109/EDT.2010.5496355Paper
Constructing a knowledge-based heterogeneous information graph for medical health status classification
Pham, Thuan, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Constructing a knowledge-based heterogeneous information graph for medical health status classification." Health Information Science and Systems. 8 (1). https://doi.org/10.1007/s13755-020-0100-6Article
Demystifying the digital divide and the role of information and communication technologies on health and disability in Australia
Ali, Mohammad Afshar. 2021. Demystifying the digital divide and the role of information and communication technologies on health and disability in Australia. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/6h0z-m743PhD Thesis
Determinants of ICT usage for healthcare among people with disabilities: The moderating role of technological and behavioural constraints
Ali, Mohammad Afshar, Alam, Khorshed and Taylor, Brad. 2020. "Determinants of ICT usage for healthcare among people with disabilities: The moderating role of technological and behavioural constraints." Journal of Biomedical Informatics. 108, pp. 1-11. https://doi.org/10.1016/j.jbi.2020.103480Article
Development of an interactive multimedia health informatics CD-ROM for aboriginal health workers. Case study: tuberculosis (TB)
El Sayed, Faeka, Soar, Jeffrey and Wang, Zoe. 2011. "Development of an interactive multimedia health informatics CD-ROM for aboriginal health workers. Case study: tuberculosis (TB)." Aboriginal and Islander Health Worker Journal. 35 (6), pp. 17-26.Article
Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images
Gudigar,Anjan, Kadri, Nahrizul Adib, Raghavendra, U., Samanth, Jyothi, Inamdar, Mahesh Anil, Prabhu, Mukund A. . and Acharya, U. Rajendra. 2024. "Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images." IEEE Access. 12, pp. 3659-3671. https://doi.org/10.1109/ACCESS.2023.3349090Article
Does digital transformation of the Australian healthcare supply chain improve clinical safety?
Smith, Sean, Lane, Michael, Toleman, Mark and Shrestha, Anup. 2021. "Does digital transformation of the Australian healthcare supply chain improve clinical safety?" Beydoun, Ghassan, Fernandez, Fernandez and Xu, Dongming (ed.) 32nd Australasian Conference on Information Systems (ACIS 2021). Sydney, Australia 06 - 10 Dec 2021 Sydney, Australia.Paper
Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights
Xiong, Jiale, Yang, Jing, Yan, Lei, Awais, Muhammad, Khan, Abdullah Ayub, Alizadehsani, Roohallah and Acharya, U. Rajendra. 2024. "Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weights." Expert Systems with Applications. 238 (Part E). https://doi.org/10.1016/j.eswa.2023.122088Article
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Jafari, Mahboobeh, Sadeghi, Delaram, Shoeibi, Afshin, Alinejad-Rokny, Hamid, Beheshti, Amin, García, David, Chen, Zhaolin, Acharya, U. Rajendra and Gorriz, Juan M.. 2024. "Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023." Applied Intelligence. 54 (1), pp. 35-79. https://doi.org/10.1007/s10489-023-05155-6Article
Event prediction through structural intelligence in online social networks
Tan, Leonard. 2020. Event prediction through structural intelligence in online social networks. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/asxq-ax90PhD Thesis
Exploring the use of a network model in drug prescription support for dental clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Qin, Yongrui, Goh, Elizabeth Zhixin and Hu, Aimin. 2018. "Exploring the use of a network model in drug prescription support for dental clinics." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Piscataway, NJ, United States. https://doi.org/10.1109/BESC.2018.00042Paper
Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications
Atmakuru, Anirudh, Chakraborty, Subrata, Salvi, Massimo, Faust, Oliver, Barua, Prabal Datta, Kobayashi, Makiko, Tan, Ru San, Molinari, Filippo, Hafeez-Baig, Abdul and Acharya, U. Rajendra. 2025. "Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications." IEEE Access. 13, pp. 25026-25044. https://doi.org/10.1109/ACCESS.2025.3539196Article
Finding weighted positive influence dominating set to make impact to negatives: a study on online social networks in the new millennium
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2014. "Finding weighted positive influence dominating set to make impact to negatives: a study on online social networks in the new millennium." Kaur, Harleen and Tao, Xiaohui (ed.) ICTs and the millennium development goals: a United Nations perspective. New York, NY. United States. Springer. pp. 67-81Edited book (chapter)
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Tuncer, Ilknur, Hafeez-Baig, Abdul, Barua, Prabal Datta, Hajiyeva, Rena, Massimo, Salvi, Dogan, Sengul, Tuncer, Turker and Acharya, U.R.. 2025. "FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection." Biomedical Signal Processing and Control. 104. https://doi.org/10.1016/j.bspc.2025.107538Article
GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds
Kilic, Mehmet, Barua, Prabal Datta, Keles, Tugce, Yildiz, Arif Metehan, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Tuncer, Turker, Kuluozturk, Mutlu, Tan, Ru-San and Acharya, U. Rajendra. 2024. "GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds." Engineering Applications of Artificial Intelligence. 127 (Part A). https://doi.org/10.1016/j.engappai.2023.107184Article
Global research on artificial intelligence-enhanced human electroencephalogram analysis
Chen, Xieling, Tao, Xiaohui, Wang, Fu Lee and Xie, Haoran. 2022. "Global research on artificial intelligence-enhanced human electroencephalogram analysis." Neural Computing and Applications. 34 (14), pp. 11295-11333. https://doi.org/10.1007/s00521-020-05588-xArticle
Graph-based multi-label disease prediction model learning from medical data and domain knowledge
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Li, Yuefeng and Xie, Haoran. 2022. "Graph-based multi-label disease prediction model learning from medical data and domain knowledge." Knowledge-Based Systems. 235, pp. 1-15. https://doi.org/10.1016/j.knosys.2021.107662Article
Hospital search and evaluation behaviours of rural Australian health consumers - an exploratory study
McClymont, Hoda. 2005. "Hospital search and evaluation behaviours of rural Australian health consumers - an exploratory study ." Asian Journal of Marketing (National University of Singapore). 11 (1), pp. 81-91.Article
Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images
Erdem, Kenan, Kobat, Mehmet Ali, Bilen, Mehmet Nail, Balik, Yunus, Alkan, Sevim, Cavlak, Feyzanur, Poyraz, Ahmet Kursad, Barua, Prabal Datta, Tuncer, Ilknur, Dogan, Sengul, Baygin, Mehmet, Erten, Mehmet, Tuncer, Turker, Tan, Ru-San and Acharya, U. Rajendra. 2023. "Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images." International Journal of Imaging Systems and Technology. 33 (4), pp. 1144-1159. https://doi.org/10.1002/ima.22914Article
Impact analysis of assessment, consultation and education services to support the adoption of smart home technologies, innovations for chronic disease prevention and solutions for independent living
Barrientos, James, Soar, Jeffrey and Su, Ying. 2012. "Impact analysis of assessment, consultation and education services to support the adoption of smart home technologies, innovations for chronic disease prevention and solutions for independent living." Donnelly, Mark, Nugent, Chris, Paggetti, Cristiano and Mokhtari, Mounir (ed.) 10th International Conference on Smart Homes and Health Telematics: Impact Analysis of Solutions for Chronic Disease Prevention and Management (ICOST 2012). Artimino, Italy 12 - 15 Jun 2012 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-30779-9_3Paper
Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation
Olmez, Yagmur, Koca, Gonca Ozmen, Sengur, Abdulkadir, Acharya, U. Rajendra and Mir, Hasan. 2024. "Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image Segmentation." IEEE Access. 12, pp. 840-867. https://doi.org/10.1109/ACCESS.2023.3347587Article
Information encountering on social media and tacit knowledge sharing
Panahi, Sirous, Watson, Jason and Partridge, Helen. 2016. "Information encountering on social media and tacit knowledge sharing." Journal of Information Science. 42 (4), pp. 539-550. https://doi.org/10.1177/0165551515598883Article