BIG DATA AND THE INTERNET OF MEDICAL THINGS
Credit points: 15
The volume of health data is increasing exponentially in the digital age, providing more data for health management and research. In this subject you will gain an understanding of what 'big data# is, why it is important to the health and healthcare sectors, and how it can be used in real-world applications. You will explore the requirements for research infrastructure, review the current big data landscape(including assets, facilities and services) and investigate the requirements around information security in relation to big data in digital health. Data linkage techniques and various strategies to tackle problems relating to data linkage quality will be explored and you will investigate how the Internet of Medical Things (IoMT) can benefit health research using compatible and research platforms. You will develop a working knowledge of the analytical techniques used to mine big data including machine learning, predictive analytics, forecasting, visualisation, simulation and complex event processing for use in healthcare and in public health.
SchoolPsychology and Public Health
Subject Co-ordinatorJames Boyd
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveYes
Quota Management StrategyMerit based quota management
Quota-conditions or rulesN/A
Minimum credit point requirementN/A
Medical Internet of Things and Big Data in Healthcare
PublisherHealthcare informatics research. 2016 Jul 1;22(3):156-63.
Medical Big Data and Internet of Medical Things Advances, Challenges and Applications
AuthorAboul Ella Hassanien, Nilanjan Gey, Surekha Borra
The Medical Futurist
AuthorBertalan Meskó, Nóra Radó, et al.
PublisherThe Medical Futurist
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Intended Learning Outcomes
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Melbourne (Bundoora), 2021, Semester 2, Online
Maximum enrolment size60
Subject Instance Co-ordinatorJames Boyd
Lecture/SeminarWeek: 30 - 42
One 1.50 hour lecture/seminar per week on weekdays during the day from week 30 to week 42 and delivered via online.
WorkShopWeek: 30 - 42
One 2.00 hours workshop per week on weekdays during the day from week 30 to week 42 and delivered via online.
Oral Presentation/Seminar (1500-word equivalent)~30 min presentation
|Oral presentation||Individual||No||20||SILO1, SILO3, SILO5|
Big Data Assignment (3000-word equivalent)Individual essay, review, report, etc.
Group project and presentation (2000-word equivalent per student) Project (1250-word equivalent) and ~15 mins presentation (750-words)
|Oral presentation||Group||No||30||SILO2, SILO3, SILO5|