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Wee, Chee Keong and Zhou, Xujuan and Sun, Ruiliang and Gururajan, Raj ORCID: https://orcid.org/0000-0002-5919-0174 and Tao, Xiaohui
ORCID: https://orcid.org/0000-0002-0020-077X and Li, Yuefeng and Wee, Nathan
(2022)
Triaging Medical Referrals Based on Clinical Prioritisation Criteria Using Machine Learning Techniques.
International Journal of Environmental Research and Public Health, 19 (12):7384.
pp. 1-14.
ISSN 1661-7827
Perry, Amanda and Lamont-Mills, Andrea ORCID: https://orcid.org/0000-0002-9109-3462 and du Preez, Jan
ORCID: https://orcid.org/0000-0002-2077-3524 and du Plessis, Carol
(2022)
'I Want to Be Stepping in More' - Professional Online Forum Moderators' Experiences of Supporting Individuals in a Suicide Crisis.
Frontiers in Psychiatry, 13:863509.
pp. 1-10.
Wee, Chee Keong and Zhou, XuJuan and Gururajan, Raj ORCID: https://orcid.org/0000-0002-5919-0174 and Tao, Xiaohui
ORCID: https://orcid.org/0000-0002-0020-077X and Chen, Jennifer and Gururajan, Rashmi and Wee, Nathan and Barua, Prabal Datta
ORCID: https://orcid.org/0000-0001-5117-8333
(2022)
Automated Triaging Medical Referral for Otorhinolaryngology Using Data Mining and Machine Learning Techniques.
IEEE Access, 10.
pp. 44531-44548.
Salman, Muhammad and Munawar, Hafiz Suliman and Latif, Khalid and Akram, Muhammad Waseem and Khan, Sara Imran and Ullah, Fahim ORCID: https://orcid.org/0000-0002-6221-1175
(2022)
Big Data Management in Drug–Drug Interaction: A Modern Deep Learning Approach for Smart Healthcare.
Big data and cognitive computing, 6 (1):30.
pp. 1-17.
Muller, Jessica L. and Tomlin, Luke and March, Sonja ORCID: https://orcid.org/0000-0001-8425-7126 and Jackson, Ben and Budden, Timothy and Law, Kwok Hong and Dimmock, James
(2022)
Understanding parent perspectives on engagement with online youth-focused mental health programs.
Psychology and Health.
pp. 1-18.
ISSN 0887-0446
Pyle, Denise and Tehan, Gerry and Lamont-Mills, Andrea ORCID: https://orcid.org/0000-0002-9109-3462 and Chambers, Suzanne K.
(2021)
Exploring predictors of and barriers to online prostate cancer
community use: A cross‐sectional survey of users and non‐users.
Psycho-Oncology.
pp. 1-8.
ISSN 1057-9249
Newton, Amanda S. and March, Sonja ORCID: https://orcid.org/0000-0001-8425-7126 and Gehring, Nicole D. and Rowe, Arlen K.
ORCID: https://orcid.org/0000-0002-1880-8513 and Radomski, Ashley D.
(2021)
Establishing a Working Definition of User Experience for eHealth Interventions of Self-reported User Experience Measures With eHealth Researchers and Adolescents: Scoping Review.
Journal of Medical Internet Research, 23 (12):e25012.
pp. 1-27.
ISSN 1439-4456
March, Sonja ORCID: https://orcid.org/0000-0001-8425-7126 and Batterham, Philip J. and Rowe, Arlen
ORCID: https://orcid.org/0000-0002-1880-8513 and Donovan, Caroline and Calear, Alison L. and Spence, Susan H.
(2021)
Trajectories of Change in an Open-access Internet-Based Cognitive Behavior Program for Childhood and Adolescent Anxiety: Open Trial.
JMIR Mental Health, 8 (6):e27981.
pp. 1-12.
Pyle, Denise and Perry, Amanda and Lamont-Mills, Andrea ORCID: https://orcid.org/0000-0002-9109-3462 and Tehan, Gerry and Chambers, Suzanne K.
(2021)
A scoping review of the characteristics and benefits of online prostate cancer communities.
Psycho-Oncology, 30 (5).
pp. 659-668.
ISSN 1057-9249
Ali, Mohammad Afshar ORCID: https://orcid.org/0000-0002-0831-9046 and Alam, Khorshed
ORCID: https://orcid.org/0000-0003-2232-0745 and Taylor, Brad
ORCID: https://orcid.org/0000-0003-4375-6206 and Ashraf, Mahfuz
(2021)
Examining the determinants of eHealth usage among elderly people with disability: The moderating role of behavioural aspects.
International Journal of Medical Informatics, 149:104411.
pp. 1-8.
ISSN 1386-5056
Goodwin, Belinda C. and Crawford-Williams, Fiona and Castro, Oscar and Rowe, Arlen ORCID: https://orcid.org/0000-0002-1880-8513 and De Cocker, Katrien
(2020)
Online physical activity and sedentary behavior information for cancer survivors.
Journal of Cancer Survivorship, 14 (5).
pp. 677-688.
ISSN 1932-2259
Hussain, Syeda Sajida and Riaz, Rabia and Fatima, Tooba and Rizvi, Sanam Shehla and Riaz, Farina ORCID: https://orcid.org/0000-0001-9223-7117 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.
ISSN 2158-107X