HISA NSW - 6th young talent time: Health Informatics research at the cutting edge
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HISA NSW - 6th young talent time: Health Informatics research at the cutting edge

24/08/2017
When: Thursday 24 August 2017
6.00pm for 6.30pm start, until 8.00pm
Where: Macquarie Health
35 Moore St
Leichhardt, New South Wales  2040
Australia
Contact: 03 9326 3311


Online registration is closed.
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Please ensure you enter the building via the Booth/Moore Street entrance, and not the Catherine Street entrance.  The 470 bus drops you right outside the door and the building is only a short walk from the Leichhardt light rail.

Featuring current PhD candidates from a range of universities.


Forewarning healthcare practitioners – how telephone and digital data can predict illness in the community

Mica Hartley Australian National University and Healthdirect Australia

 

 

 

A genomic comparator for cohort analysis to aide medical treatment

Andrew Brunker eHealth Research Group, School of Computing, Engineering and Mathematics, Western Sydney University

 

 

 

 

 

Patterns of potential under and overutilisation of lipid testing in the Australian adult population

Farshid Hajati
Capital Markets CRC and Western Sydney University

 

 

 

 

 

 

Predicting the risk of chronic disease: A framework based on graph theory and social network analysis

Our research focuses on understanding chronic disease progression and then predicting risk based on this understanding which can potentially prevent hospital admission due to undiagnosed chronic disease. It adopts a data mining perspective utilising hospital admission data (administrative data), which carries rich semantic information about the patients’ overall health status and diagnosis information.

Dr Arif Khan Complex Systems Research Group,The University of Sydney and Health Market Quality Research Program,Capital Markets CRC Limited

 

 

Using ICD code descriptors to cluster hospital admissions in clinically related groups

We represent admissions by the concatenation of the associated ICD code descriptors. We then apply a text mining method (“topic modelling”) to cluster admissions in interpretable groups defined by few key clinical terms.

Amir Marashi Capital Markets CRC and Western Sydney University

 

 

 Registration Fees

This event is free for HISA members and $25.00 for non-members. Please register via the above link to confirm your attendance.

Slides
Slides are available post event to HISA members only. If you would like further information on HISA membership please click here.

CPD Points

This event has been approved for up to 1.5 contact hours of continuing education credit toward renewal of the CHIA credential. Click here for more information on becoming a certified health informatics professional.

 

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