Items where Subject is "46 INFORMATION AND COMPUTING SCIENCES > 4601 Applied computing > 460102 Applications in health"
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- 46 INFORMATION AND COMPUTING SCIENCES (709)
- 4601 Applied computing (50)
- 460102 Applications in health (28)
- 4601 Applied computing (50)
- 46 INFORMATION AND COMPUTING SCIENCES (709)
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Alharbi, Hadeel, Hamilton, John R., and Maxwell, Stephen J. (2023) COVID 19 and Information Technology: A Systematic Review. In: Proceedings of the 23rd International Conference on Electronic Business (23) pp. 107-118. From: ICEB 2023: 23rd International Conference on Electronic Business, 19-23 October 2023, Chiayi, Taiwan.
Adu, Mary Damilola (2020) Enhancing diabetes self-management through mobile phone application. PhD thesis, James Cook University.
Adu, Mary D., Malabu, Usman H., Malau-Aduli, Aduli E.O., and Malau-Aduli, Bunmi S. (2018) Users' preferences and design recommendations to promote engagement with mobile apps for diabetes self-management: multi-national perspectives. PLoS ONE, 13 (12). e0208942.
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Baker, Stephanie, Xiang, Wei, and Atkinson, Ian (2017) Internet of Things for smart healthcare: technologies, challenges, and opportunities. IEEE Access, 5. pp. 26521-26544.
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Grant, Claire M. (2021) Physiotherapists' perspectives on the use of telehealth for children with developmental delays. Masters (Research) thesis, James Cook University.
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Harerimana, Alexis, Wicking, Kristin, Biedermann, Narelle, and Yates, Karen (2023) Ready, Set, Go! Fostering nursing informatics integration into our curricula. In: Abstracts from the National Nursing Forum (NNF) 2023. From: National Nursing Forum, 9-11 August 2023, Adelaide Convention Centre, Adelaide, Australia.
Huang, Yi, and Song, Insu (2022) Cardio Vec: Searching Heart Health Information Using ECG Signals. In: Proceedings of the 7th International Conference on Computational Intelligence and Applications. pp. 243-247. From: ICCIA 2022: IEEE 7th International Conference on Computational Intelligence and Applications, 24-26 June 2022, Nanjing, China.
Huang, Yi, and Song, Insu (2022) PhysioVec: A Multi-stage Deep-Learning Framework for Searching Online Health Information with Breath Sound. In: Proceedings of the 5th International Conference on Big Data and Artificial Intelligence. pp. 26-33. From: BDAI 2022: IEEE 5th International Conference on Big Data and Artificial Intelligence, 8-10 July 2022, Fuzhou, China.
Huang, Yi, and Song, Insu (2022) PhysioVec: IoT Biosignal Based Search Engine for Gastrointestinal Health. In: Proceedings of the 7th International Conference on Computational Intelligence and Applications. pp. 230-236. From: ICCIA 2022: IEEE 7th International Conference on Computational Intelligence and Applications, 24-26 June 2022, Nanjing, China.
Huang, Yi, and Song, Insu (2018) Non-invasive methods of measuring carotenoids. In: Proceedings of the 3rd International Conference on Biomedical Signal and Image Processing. pp. 87-91. From: ICBIP 2018: 3rd International Conference on Biomedical Signal and Image Processing, 22-24 August 2018, Seoul, Korea.
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Krahe, Michelle A., Wolski, Malcolm, Mickan, Sharon, Toohey, Julie, Scuffham, Paul, and Reilly, Sheena (2023) Developing a strategy to improve data sharing in health research: A mixed-methods study to identify barriers and facilitators. Health Information Management Journal, 52 (1). pp. 18-27.
Krahe, Michelle A., Toohey, Julie, Wolski, Malcolm, Scuffham, Paul A., and Reilly, Sheena (2020) Research data management in practice: Results from a cross-sectional survey of health and medical researchers from an academic institution in Australia. Health Information Management Journal, 49 (2-3). pp. 108-116.
Krahe, Michelle, Milligan, Eleanor, and Reilly, Sheena (2019) Personal health information in research: Perceived risk, trustworthiness and opinions from patients attending a tertiary healthcare facility. Journal of Biomedical Informatics, 95. 103222.
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Linardon, Jake, Messer, Mariel, Shatte, Adrian, Greenwood, Christopher J., Rosato, John, Rathgen, April, Skvarc, David, and Fuller-tyszkiewicz, Matthew (2022) Does the Method of Content Delivery Matter? Randomized Controlled Comparison of an Internet-Based Intervention for Eating Disorder Symptoms With and Without Interactive Functionality. Behavior Therapy, 53 (3). pp. 508-520.
Linardon, Jake, Tylka, Tracy L., Burnette, C. Blair, Shatte, Adrian, and Fuller-Tyszkiewicz, Matthew (2022) Understanding the role of positive body image during digital interventions for eating disorders: Secondary analyses of a randomized controlled trial. Body Image, 43. pp. 1-7.
Linardon, Jake, Shatte, Adrian, Messer, Mariel, Firth, Joseph, and Fuller-Tyszkiewicz, Matthew (2020) E-mental health interventions for the treatment and prevention of eating disorders: An updated systematic review and meta-analysis. Journal of Consulting and Clinical Psychology, 88 (11). pp. 994-1007.
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Masood, Anum, Naseem, Usman, and Nasim, Mehwish (2023) Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images. In: Lecture Notes in Computer Science. pp. 29-39. From: CaPTion: 2nd International Workshop on Cancer Prevention through Early Detection, 12 October 2023, Vancouver, Canada.
McNabb, Tim, Wicking, Kristin, and Myers, Trina (2023) Occupation versus Utilisation of Clinical Spaces Using Internet of Things Devices: Are Consult Rooms Well Utilised? In: Proceedings of the 2023 7th International Conference on Medical and Health Informatics. pp. 316-321. From: ICMHI '23: 7th International Conference on Medical and Health Informatics, 12-14 May 2023, Kyoto, Japan.
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Nguyen, Minh N., Krutz, Nora L., Limviphuvadh, Vachiranee, Lopata, Andreas L., Gerberick, G. Frank, and Maurer-Stroh, Sebastian (2022) AllerCatPro 2.0: a web server for predicting protein allergenicity potential. Nucleic Acids Research, 50 (W1). W36-W43.
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Pelentsov, Lemuel J., Fielder, Andrea, Laws, Thomas A., and Esterman, Adrian J. (2016) Development of the parental needs scale for rare diseases: a tool for measuring the supportive care needs of parents caring for a child with a rare disease. Journal of Multidisciplinary Healthcare, 9. pp. 425-433.
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Vilaysack, Brandon, Cordier, Reinie, Doma, Kenji, and Chen, Yu-Wei (2016) Capturing everyday experiences of typically developing children aged five to seven years: a feasibility study of experience sampling methodology. Australian Occupational Therapy Journal, 63 (6). pp. 424-433.
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Yusif, Salifu, Hafeez-Baig, Abdul, Soar, Jeffrey, and Teik, Derek Ong Lai (2020) PLS-SEM path analysis to determine the predictive relevance of e-Health readiness assessment model. Health and Technology, 10 (6). pp. 1497-1513.
Yusif, Salifu, Hafeez-Baig, Abdul, and Soar, Jeffrey (2020) A model for evaluating eHealth preparedness – a case study approach. Transforming Government: people, process and policy, 14 (3). pp. 561-587.
Yusif, Salifu, Hafeez-Baig, Abdul, and Soar, Jeffrey (2019) Change management and adoption of health information technology (HIT)/eHealth in public hospitals in Ghana: A qualitative study. Applied Computing and Informatics, 18 (3/4). pp. 279-289.
Yusif, Salifu, Hafeez-Baig, Abdul, and Soar, Jeffrey (2017) e-Health readiness assessment factors and measuring tools: A systematic review. International Journal of Medical Informatics, 107. pp. 56-64.
Yusif, Salifu, Soar, Jeffrey, and Hafeez-Baig, Abdul (2016) Older people, assistive technologies, and the barriers to adoption: A systematic review. International Journal of Medical Informatics, 94. pp. 112-116.
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Zhang, Denghui, Shafiq, Muhammad, Tang, Keke, and Naseem, Usman (2024) Multi-Resolution Wavelet Fractal Analysis and Subtask Training for Enhancing Few-Shot Noisy Brainwave Recognition. IEEE Journal of Biomedical and Health Informatics. (In Press)
Zhang, Dongzhi, Lee, Kyungmi, and Lee, Ickjai (2019) Multi-level medical periodic patterns from human movement behaviors. Health Information Science and Systems, 7 (1). 9.