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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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
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
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
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
Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data
Siuly, Siuly, Tawhid, Md.Nurul Ahad, Li, Yan, Acharya, Rajendra, Sadiq, Muhammad Tariq and Wang, Hua. 2025. "Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data." Cognitive Computation. 17 (2). https://doi.org/10.1007/s12559-025-10447-9Article
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
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
Lobish: Symbolic Language for Interpreting Electroencephalogram Signals in Language Detection Using Channel-Based Transformation and Pattern
Tuncer, Turker, Dogan, Sengul, Tasci, Irem, Baygin, Mehmet, Barua, Prabal and Acharya, U. Rajendra. 2024. "Lobish: Symbolic Language for Interpreting Electroencephalogram Signals in Language Detection Using Channel-Based Transformation and Pattern." Diagnostics. 14 (17). https://doi.org/10.3390/diagnostics14171987Article
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
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
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
Predictive Characteristics of Childhood Emergency Injury Presentations in a Non-Urban Area of Victoria, Australia
Peck, Blake, Terry, Daniel and Kloot, Kate. 2024. "Predictive Characteristics of Childhood Emergency Injury Presentations in a Non-Urban Area of Victoria, Australia." Emergency Care and Medicine. 1 (2), pp. 165-175. https://doi.org/10.3390/ecm1020018Article
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
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
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
Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals
Kumar, Kamlesh, Kumar, Prince, Patel, Ruchit K., Sharma, Manish, Bajaj, Varun and Acharya, U. Rajendra. 2024. "Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals." IEEE Latin America Transactions (IEEE America Latina. Revista). 22 (3), pp. 186-194. https://doi.org/10.1109/TLA.2024.10431420Article
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
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
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
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
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
Primary care-based smoking cessation treatment and subsequent healthcare service utilisation: a matched cohort study of smokers using linked administrative healthcare data
Baliunas, Dolly, Selby, Peter, de Oliveira, Claire, Kurdyak, Paul, Rosella, Laura, Zawertailo, Laurie, Fu, Longdi and Sutradhar, Rinku. 2023. "Primary care-based smoking cessation treatment and subsequent healthcare service utilisation: a matched cohort study of smokers using linked administrative healthcare data." Tobacco Control. 32 (1), pp. 72-79. https://doi.org/10.1136/tobaccocontrol-2021-056522Article
Machine and cognitive intelligence for human health: systematic review
Chen, Xieling, Cheng, Gary, Wang, Fu Lee, Tao, Xiaohui, Xie, Haoran and Xu, Lingling. 2022. "Machine and cognitive intelligence for human health: systematic review." Brain Informatics. 9 (1), pp. 1-20. https://doi.org/10.1186/s40708-022-00153-9Article
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
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
MeKG: building a medical knowledge graph by data mining from MEDLINE
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhou, Xujuan and Gururajan, Raj. 2019. "MeKG: building a medical knowledge graph by data mining from MEDLINE." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_16Paper
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
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
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
Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities
Tao, Xiaohui, Shaik, Thanveer Basha, Higgins, Niall, Gururajan, Raj and Zhou, Xujuan. 2021. "Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities." Sensors. 21 (3), pp. 1-20. https://doi.org/10.3390/s21030776Article
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
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
Prescribing in a paediatric emergency: A PERUKI survey of prescribing and resuscitation aids
Jahn, Haiko Kurt, Jahn, Ingo Henry Johannes, Roland, Damian, Behringer, Wilhelm, Lyttle, Mark and Paediatric Emergency Research in the United Kingdom. 2021. "Prescribing in a paediatric emergency: A PERUKI survey of prescribing and resuscitation aids." Acta Paediatrica. 110 (3), pp. 1038-1045. https://doi.org/10.1111/apa.15551Article
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
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
Knowledge discovery for health risk prediction
Pham, Thuan. 2020. Knowledge discovery for health risk prediction. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/jj7h-9231PhD Thesis
The Mediating Effect of Information and Communication Technology Usages on the Nexus Between Assistive Technology and Quality of Life Among People with Communication Disability
Ali, Mohammad Afshar, Alam, Khorshed and Taylor, Brad. 2020. "The Mediating Effect of Information and Communication Technology Usages on the Nexus Between Assistive Technology and Quality of Life Among People with Communication Disability." CyberPsychology, Behavior and Social Networking. 23 (5), pp. 338-345. https://doi.org/10.1089/cyber.2019.0598Article
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
Mining health knowledge graph for health risk prediction
Tao, Xiaohui, Pham, Thuan, Zhang, Ji, Yong, Jianming, Goh, Wee Pheng, Zhang, Wenping and Cai, Yi. 2020. "Mining health knowledge graph for health risk prediction." World Wide Web. 23 (4), pp. 2341-2362. https://doi.org/10.1007/s11280-020-00810-1Article
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