Co-Design, Development, and Evaluation of a Mobile Solution to Improve Medication Adherence in Cancer: Design Science Research Approach.

Autor: Dang TH; Department of Psychological Sciences, School of Health Sciences, Swinburne University of Technology, Melbourne, Australia.; Digital Cancer Care Innovation, Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Australia.; Digital Health Cooperative Research Centre, Sydney, Australia., Wickramasinghe N; Department of Health and Bio Statistics, School of Health Sciences, Swinburne University of Technology, Melbourne, Australia.; Epworth Healthcare, Melbourne, Australia.; Optus Chair Digital Health, La Trobe University, Melbourne, Australia.; Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Australia., Forkan ARM; Digital Innovation Lab, Department of Computer Science and Software Engineering, School Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, Australia., Jayaraman PP; Factory of the Future and Digital Innovation Lab, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, Australia., Burbury K; Digital and Healthcare Innovation, Peter McCallum Cancer Centre, Melbourne, Australia.; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia., O'Callaghan C; Caritas Christi and Psychosocial Cancer Care, St Vincent's Hospital, Melbourne, Australia.; Department of Medicine, St Vincent's Hospital, The University of Melbourne, Melbourne, Australia., Whitechurch A; Department of Clinical Haematology, Peter MacCallum Cancer Centre & Royal Melbourne Hospital, Melbourne, Australia., Schofield P; Department of Psychological Sciences, School of Health Sciences, Swinburne University of Technology, Melbourne, Australia.; Digital Cancer Care Innovation, Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Australia.; Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Australia.; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia.

Publikováno v: JMIR cancer [JMIR Cancer] 2024 Apr 03; Vol. 10, pp. e46979. Date of Electronic Publication: 2024 Apr 03.

Weed Detection Using Deep Learning: A Systematic Literature Review.

Autor: Murad NY; Big Data Analytics Laboratory, Department of Computer Science, School of Mathematics and Computer Science, Institute of Business Administration, Karachi 75270, Pakistan., Mahmood T; Big Data Analytics Laboratory, Department of Computer Science, School of Mathematics and Computer Science, Institute of Business Administration, Karachi 75270, Pakistan., Forkan ARM; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne 3122, Australia., Morshed A; School of Engineering and Technology, Central Queensland University, Melbourne 3000, Australia., Jayaraman PP; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne 3122, Australia., Siddiqui MS; Faculty of Computer and Information Systems, Islamic University of Madinah, Medina 42351, Saudi Arabia.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Mar 31; Vol. 23 (7). Date of Electronic Publication: 2023 Mar 31.

Investigation of Intervention Solutions to Enhance Adherence to Oral Anticancer Medicines in Adults: Overview of Reviews.

Autor: Dang TH; Department of Psychology, School of Health Sciences, Swinburne University of Technology, Melbourne, Australia.; Behavioural Sciences Unit, Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Australia.; Digital Health Cooperative Research Centre, Sydney, Australia., Forkan ARM; Digital Innovation Lab, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, Australia., Wickramasinghe N; Department Health and Bio Statistics, School of Health Sciences and Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Australia.; Epworth Healthcare, Melbourne, Australia., Jayaraman PP; Digital Innovation Lab, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, Australia., Alexander M; Pharmacy Department, Peter MacCallum Cancer Centre, Melbourne, Australia.; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia., Burbury K; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia.; Digital and Healthcare Innovation, Peter McCallum Cancer Centre, Melbourne, Australia., Schofield P; Behavioural Sciences Unit, Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, Australia.; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia.; Department of Psychology, and Iverson Health Innovation Research Institute, Swinburne University of Technology, Melbourne, Australia.

Publikováno v: JMIR cancer [JMIR Cancer] 2022 Apr 27; Vol. 8 (2), pp. e34833. Date of Electronic Publication: 2022 Apr 27.

A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs.

Autor: Forkan ARM; School of Science (Computer Science), RMIT University, Melbourne, Victoria 3001, Australia; National ICT Australia (NICTA), Australia. Electronic address: abdur.forkan@rmit.edu.au., Khalil I; School of Science (Computer Science), RMIT University, Melbourne, Victoria 3001, Australia; National ICT Australia (NICTA), Australia.

Publikováno v: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2017 Feb; Vol. 139, pp. 1-16. Date of Electronic Publication: 2016 Oct 27.