Publications

Explore our research impact

Below are outputs of our work in Digital Health.


Cardiovascular Health and Wellbeing

Year Publication details
2020 A framework for cardiac arrhythmia detection from IoT-based ECGs
J He, J Rong, L Sun, H Wang, Y Zhang, J Ma. World Wide Web 1-16
2019 Usefulness of Wearable Cameras as a Tool to Enhance Chronic Disease Self-Management: Scoping Review.
R Maddison, S Cartledge, M Rogerson, NS Goedhart, TR Singh, C Neil et al
2018 D-ECG: a dynamic framework for cardiac arrhythmia detection from IoT-based ECGs
J He, J Rong, L Sun, H Wang, Y Zhang, J Ma
2018 Seeing is Believing: Can Wearable Cameras Enhance Self-Management for People with Heart Failure?
S Cartledge, M Rogerson, T Singh, V Huynh, D Phung, C Neil, K Ball et al
2018 Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study
S Nanayakkara, S Fogarty, M Tremeer, K Ross, B Richards, C Bergmeir
2017 Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis.
C Bergmeir, I Bilgrami, C Bain, GI Webb, J Orosz, D Pilcher

Digitally Enabled Care Models of the Future

Year Publication details
2019 (Malaysia) "What Do Users like About Smart Bottle?": Insights for Designers
Poh, Zhuo, Chun Yong Chong, Pei-Lee Teh, Saramma Joseph, Shaun Lee Wen Huey, Narayanan Ramakrishnan, and Rajendran Parthiban
2019 Blockchain based Dynamic Patient Consent: A Privacy-Preserving Data Acquisition Architecture for Clinical Data Analytics
T Rupasinghe, F Burstein, C Rudolph
2019 Respiratory Self-Care: Identifying Current Challenges and Future Potentials for Digital Technology to Support People with Chronic Respiratory Conditions
Helena Tendedez, Maria-Angela Ferrario, Roisin McNaney and Jon Whittle
2019 Can I Trust the Data I See?: A Physician's Concern on Medical Data in IoT Health Architectures.
FT Jaigirdar, C Rudolph, C Bain
2019 Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care
S Ji, G Long, S Pan, T Zhu, J Jiang, S Wang, X Li
2019 Usefulness of Wearable Cameras as a Tool to Enhance Chronic Disease Self-Management: Scoping Review.
R Maddison, S Cartledge, M Rogerson, NS Goedhart, TR Singh, C Neil et al
2019 Out-of-Hospital Body Movement Data Collection Using E-Skin Sensors.
Y Zhang, PD Haghighi, F Burstein, LW Yap, W Cheng, F Cicuttini
2018 IEEE Access Special Section Editorial: Information Security Solutions for Telemedicine Applications.
AK Singh, Z Lv, S Rho, SK Singh, X Chang, W Puech
2018 Scoping the Design Space for Data Supported Decision-Making Tools in Respiratory Care: Needs, Barriers and Future Aspirations
H Tendedez, R McNaney, MA Ferrario, J Whittle
2018 Vision: Improved development of mobile eHealth applications
JC Grundy, M Abdelrazek, Kissoon, M.
2018 Personalized mobile tool AskPCOS delivering evidence-based quality information about polycystic ovary syndrome
J Xie, F Burstein, R Garad, HJ Teede, JA Boyle
2017 Empirical study of user experience on mobile data collection for chronic low back pain.
Tian Yu Goh, Frada Burstein, Pari Delir Haghighi, Flavia Cicuttini, Donna M Urquhart

Electronic Medical Record (EMR) Optimisation

Year Publication details
2019 A Framework for Managing Cognitive Load in Electronic Medical Record Systems Training
S Hashemi, F Burstein
2019 MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records
B Hettige,  YF Li, W Wang, S Le, W Buntine
2019 Addressing Cognitive Load in Training on Electronic Medical Record Systems
S Hashemi, F Burstein, K Tan, CA Bain
2019 A comparison of characteristics and outcomes of patients admitted to the ICU with asthma in Australia and New Zealand and United states
H Abdelkarim, M Durie, R Bellomo, C Bergmeir, O Badawi, K El-Khawas
2019 Closing the Gap in Surveillance and Audit of Invasive Mold Diseases for Antifungal Stewardship Using Machine Learning.
D Baggio, T Peel, AY Peleg, S Avery, M Prayaga, M Foo, G Haffari, M Liu, C Bergmeir et al
2019 Spectrum of illness among returned Australian travellers from Bali, Indonesia: a 5‐year retrospective observational study.
A Sohail, SL McGuinness, R Lightowler, K Leder, B Jomon, CA Bain et al
2019 Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records
X Peng, G Long, S Pan, J Jiang, Z Niu
2018 Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study
S Nanayakkara, S Fogarty, M Tremeer, K Ross, B Richards, C Bergmeir et al
2018 Predicting medical emergency team calls, cardiac arrest calls and re-admission after intensive care discharge: creation of a tool to identify at-risk patients.
YH Ng, DV Pilcher, M Bailey, CA Bain, C MacManus, TK Bucknall. 
2018 Effective identification of similar patients through sequential matching over ICD code embedding
D Nguyen, W Luo, S Venkatesh, D Phung
2017 Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis.
C Bergmeir, I Bilgrami, C Bain, GI Webb, J Orosz, D Pilcher 
2017 Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions.
B Saha, S Gupta, D Phung, S Venkatesh
2017 Predicting healthcare trajectories from medical records: A deep learning approach.
T Pham, T Tran, D Phung, S Venkatesh
2017 Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining.
S Wang, X Li, X Chang, L Yao, QZ Sheng, G Long
2017 Toward electronic surveillance of invasive mold diseases in hematology-oncology patients: An expert system combining natural language processing of chest computed tomography
MR Ananda-Rajah, C Bergmeir, F Petitjean, MA Slavin, KA Thursky, et al
2017 Modelling risk-adjusted variation in length of stay among Australian and New Zealand ICUs
LD Straney, AA Udy, A Burrell, C Bergmeir, S Huckson, DJ Cooper et al
2017 Exploration of healthcare information systems users lifeworld: an empirical study informed by Heideggers phenomenology.
Zhang, Yu; Gao, Shijia; and Burstein, Frada

Equity through Digital Health

Year Publication details
2020Digital Healthcare Across Oceania
Bain C and Alvandi A.
2020Co-designing Digital Tools to Enhance Speech and Language Therapy Training in Ghana
L Hudson, C Amponsah, JO Bampoe, J Marshall, NAV Owusu, K Hussein et al.
2018(Malaysia) Application of a Double-Loop Learning Approach for Healthcare Systems Design in an Emerging Market
Nik Nailah Binti Abdullah, Anuar Zaini Md Zain et al.

Forensic Informatics

Year Publication details
2019 Development of a simple numerical model for trabecular bone structures
Pena-Solorzano CA, Albrecht DW, Paganin DM, et al.
2019 Forensic Shoe-print Identification: A Brief Survey.
I Rida, S Bakshi, X Chang, H Proenca
2018 Effect of external fixation rod coupling in computed tomography.
CA Peña-Solórzano, MR Dimmock, DW Albrecht, DM Paganin et al

Neurosciences and Mental Wellbeing

Year Publication details
2020 Epileptic Seizure Detection Using Convolutional Neural Network: A Multi-Biosignal study
Y Liu, S Sivathamboo, P Goodin, P Bonnington, P Kwan, L Kuhlmann et al.
2020 Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
K Rasheed, A Qayyum, J Qadir, S Sivathamboo, P Kwan, L Kuhlmann et al.
2020 Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson’s Disease in the Home or a Home-like Environment
C Morgan, M Rolinski, R McNaney, B Jones, L Rochester et al.
2020 Future Opportunities for IoT to Support People with Parkinson's
R McNaney, E Tsekleves, J Synnott.
2020 Shaping the Design of Smartphone-Based Interventions for Self-Harm
M Honary, B Bell, S Clinch, J Vega, L Kroll, A Sefi, R McNaney.
2020 An evaluation of the effectiveness and acceptability of a new technology system to support psychotherapy helping skills training
D Murphy, F Liao, P Slovak, LM Holle, D Jackson, P Olivier, G Fitzpatrick
Counselling and Psychotherapy Research 20 (2), 324-335
2019 A Graph-Based Hierarchical Attention Model for Movement Intention Detection from EEG Signals
D Zhang, L Yao, K Chen, S Wang, PD Haghighi, C Sullivan.
2019 Epileptic seizure forecasting with generative adversarial networks.
Truong, N. D., Kuhlmann, L., Bonyadi, M. R., Querlioz, D., Zhou, L. & Kavehei, O.
2019 An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals
J Lin, S Pan, CS Lee, S Oviatt
2019 Detecting Suicidal Ideation with Data Protection in Online Communities
S Ji, G Long, S Pan, T Zhu, J Jiang, S Wang
2019 Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition.
D Zhang, L Yao, K Chen, S Wang, X Chang, Y Liu
2019 Designing Efficacious Mobile Technologies for Anxiety Self-Regulation
H Senaratne, K Ellis, S Oviatt, G Melvin
2019 Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
S Ji, S Pan, X Li, E Cambria, G Long, Z Huang
2018 Mental Fatigue Monitoring using Brain Dynamics Preferences.
Y Pan, AK Singh, IW Tsang, C Lin
2018 Supervised learning for suicidal ideation detection in online user content.
S Ji, CP Yu, S Fung, S Pan, G Long
2018 Automated diagnosis of pathological brain using fast curvelet entropy features.
DR Nayak, R Dash, X Chang, B Majhi, S Bakshi
2018 Jointly predicting affective and mental health scores using deep neural networks of visual cues on the web.
H Nguyen, V Nguyen, T Nguyen, ME Larsen, B O’Dea, DT Nguyen, T Le et al
2017 Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities.
B Dao, T Nguyen, S Venkatesh, D Phung
International Journal of Data Science and Analytics
2017 Estimating support scores of autism communities in large-scale web information systems
N Thin, N Hung, S Venkatesh, D Phung.
2017 Data mining of intervention for children with autism spectrum disorder.
P Vellanki, T Duong, D Phung, S Venkatesh
2017 Using linguistic and topic analysis to classify sub-groups of online depression communities.
T Nguyen, B O’Dea, M Larsen, D Phung, S Venkatesh, H Christensen. 
2017 Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data.
P Vellanki, T Duong, S Gupta, S Venkatesh, D Phung.
2017 Predicting healthcare trajectories from medical records: A deep learning approach.
T Pham, T Tran, D Phung, S Venkatesh
2017 Impact of attention training on academic achievement, executive functioning, and behavior: A randomized controlled trial.
H Kirk, K Gray, K Ellis, J Taffe, K Cornish

Gerontechnology

Year Publication details
2020 Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging
V Mehta, A Dhall, S Pal, S Khan.
2020 Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson’s Disease in the Home or a Home-like Environment
C Morgan, M Rolinski, R McNaney, B Jones, L Rochester, W Maetzler et al.
2020 Future Opportunities for IoT to Support People with Parkinson's
R McNaney, E Tsekleves, J Synnott.
2020 Challenges and Opportunities of Leveraging Intelligent Conversational Assistant to Improve the Well-being of Older Adults
K Sengupta, S Sarcar, A Pradhan, R McNaney, S Sayago et al.
2019 Emotion-oriented requirements engineering: A case study in developing a smart home system for the elderly
M Kissoon Curumsing, N Fernando, M Abdelrazek, R Vasa, K Mouzakis, J Grundy et al
2019 Towards a blockchain based fall prediction model for aged care.
T Rupasinghe, F Burstein, C Rudolph, S Strange
2019 Relationship between Device Performance, Trust and User Behaviour in a Care-taking Scenario
A Partovi, I Zukerman, K Zhan, N Hamacher, J Hohwy.
2017 A Game for Eliciting Trust between People and Devices under Diverse Performance Conditions
I Zukerman, A Partovi, K Zhan, N Hamacher, J Stout, M Moshtaghi.

Other research areas

Year Publication details
2020 PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact
F Li, C Fan, TT Marquez-Lago,  J Revote, C Jia, Y Zhu, AI Smith, GI Webb et al.
2020 Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information
F Li, A Leier, Q Liu, T Akutsu, GI Webb, AI Smith et al.
2020 DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites
F Li, J Chen, A Leier, T Marquez-Lago, Q Liu, Y Wang, AI Smith, GI Webb et al.
2020 iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
Z Chen, P Zhao, F Li, TT Marquez-Lago, A Leier, J Revote, GI Webb et al.
2020 PROSPECT: A web server for predicting protein histidine phosphorylation sites
Z Chen, P Zhao, F Li, A Leier, TT Marquez-Lago, GI Webb, A Baggag et al.
2020 Comparing Real-Time Feedback Modalities to Support Optimal Cardiopulmonary Resuscitation for Undergraduate Nursing Students: A Quasi-Experimental Cross-Over Simulation Study
F Dick-Smith, D Elliott, R Martinez-Maldonado, T Power.
2020 Deep learning for pollen allergy surveillance from twitter in Australia
J Rong, S Michalska, S Subramani, J Du, H Wang.
2020 ReFind: design, lived experience and ongoingness in bereavement
J Wallace, K Montague, T Duncan, LP Carvalho, N Koulidou, J Mahoney et al.
2019 Mobile technology use in a multidisciplinary healthcare team - factors and challenges
P Spink, F Burstein
2019 Learning 3D Human Body Embedding
B Jiang, J Zhang, J Cai, J Zheng
2019 Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
Q Tao, Z Ge, J Cai, J Yin, S See.
2019 Healthcare 4.0: A review of frontiers in digital health
PP Jayaraman, ARM Forkan, A Morshed, P Delir Haghighi, YB Kang.
2019 Mining Social Media Data to Investigate Patient Perceptions Regarding DMARD Pharmacotherapy for Rheumatoid Arthritis
C Sharma, S Whittle, PD Haghighi, F Burstein, R Sa'adon, H Keen
2019 Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies
Z Ge, D Mahapatra, X Chang, Z Chen, L Chi, H Lu
2019 Topic modelling for identification of vaccine reactions in Twitter.
Sedigheh Khademi, Pari Delir Haghighi
2019 Novel methods of incorporating time in longitudinal multivariate analysis reveals hidden associations with disease activity in systemic lupus erythematosus.
HT Nim, K Connelly, FB Vincent, F Petitjean, A Hoi, R Koelmeyer, S Boyd et al
2019 Automatic alignment of surgical videos using kinematic data.
HI Fawaz, G Forestier, J Weber, F Petitjean, L Idoumghar, PA Muller
2019 Routine Clinical Pathology Measurements Are Predictive of the Risk of Organ Damage Accrual in SLE
E Morand, K Zhang, S Boyd, F Petitjean, A Hoi, R Koelmeyer, H Nim.
2019 3D Unet-based Kidney and Kidney Tumour Segmentation with Attentive Feature Learning
Q Tao, Z Wu, I Cheong, J Yang, Z Ge, G Lin, J Cai
2019 HetFHMM: A Novel Approach to Infer Tumor Heterogeneity Using Factorial Hidden Markov Models
MS Rahman, AE Nicholson, G Haffari.
2018 A Comparative Study of Critical Success Factors for General and Healthcare Business Intelligence Systems
Q Nguyen, R Meredith, F Burstein
2018 Surgical motion analysis using discriminative interpretable patterns.
G Forestier, F Petitjean, P Senin, F Despinoy, A Huaulmé, HI Fawaz
2018 FRI0359 Routine clinical pathology measurements are associated with risk of organ damage accrual in SLE.
K Zhang, S Boyd, F Petitjean, A Hoi, R Koelmeyer, E Morand, H Nim
2018 SAT0033 Time-dependent relationships between biological parameters and disease activity in systemic lupus erythematosus.
K Connelly, H Nim, F Vincent, F Petitjean, A Hoi, R Kohlmeyer, S Boyd,
2018 AB0570 Association between sledai-2k domains and organ damage accrual.
K Zhang, S Boyd, F Petitjean, A Hoi, R Koelmeyer, E Morand, H Nim
2018 Surgical skills: Can learning curves be computed from recordings of surgical activities?
G Forestier, L Riffaud, F Petitjean, PL Henaux, P Jannin
2018 LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment.
D Nguyen, W Luo, D Phung, S Venkatesh
2017 Genome‐wide measures of peripheral blood DNA methylation and prostate cancer risk in a prospective nested case‐control study.
LM FitzGerald, H Naeem, E Makalic, DF Schmidt, JG Dowty et al
2017 A framework for mixed-type multioutcome prediction with applications in healthcare
B Saha, S Gupta, D Phung, S Venkatesh
2017 Prediction of population health indices from social media using kernel-based textual and temporal features.
T Nguyen, DT Nguyen, ME Larsen, B O'Dea, J Yearwood, D Phung et al
2017 Estimation of the prevalence of adverse drug reactions from social media.
T Nguyen, ME Larsen, B O’Dea, D Phung, S Venkatesh, H Christensen
2017 Finding discriminative and interpretable patterns in sequences of surgical activities
G Forestier, F Petitjean, P Senin, L Riffaud, PL Henaux, P Jannin
2017 Automatic matching of surgeries to predict surgeons’ next actions.
G Forestier, F Petitjean, L Riffaud, P Jannin
2017 Investigating subjective experience and the influence of weather among individuals with fibromyalgia: A content analysis of twitter.
Pari Delir Haghighi, Yong-Bin Kang, Rachelle Buchbinder, Frada Burstein, Samuel Whittle