Bond Business School, Bond University and intelliHQ

Research output: Contribution to conferencePaper

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Bond Business School, Bond University and intelliHQ. / Vanstone, Bruce J; Gepp, Adrian.
2017.

Research output: Contribution to conferencePaper

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TY - CONF

T1 - Bond Business School, Bond University and intelliHQ

AU - Vanstone, Bruce J

AU - Gepp, Adrian

N1 - AI in Intensive Care Research Day ; Conference date: 21-07-2017

PY - 2017/7/21

Y1 - 2017/7/21

N2 - The Bond Business School is continuing to increase its capabilities in Big Data Analytics, both in teaching and research. Healthcare is an important application domain for these skills and we support the IntelliHQ initiative with our Executive Dean sitting on its advisory board. We are interested in the application of big data techniques in healthcare and statistically rigorous evaluation of the resulting models. With expertise in financial modelling, we are very comfortable with handling multiple high-frequency time-series data streams – something that intelliHQ now has available for medical data.We have already established a research partnership with intelliHQ. In additional to preliminary work on automating the patient referral process, we are completing a project this year about improving the currently used ICU severity scoring system by incorporating high-frequency data (see separate abstract). This research is being conducted by an Actuarial Honours student. In the future, we will have a growing number of such students with high-level quantitative and statistical skills looking for applied research projects.

AB - The Bond Business School is continuing to increase its capabilities in Big Data Analytics, both in teaching and research. Healthcare is an important application domain for these skills and we support the IntelliHQ initiative with our Executive Dean sitting on its advisory board. We are interested in the application of big data techniques in healthcare and statistically rigorous evaluation of the resulting models. With expertise in financial modelling, we are very comfortable with handling multiple high-frequency time-series data streams – something that intelliHQ now has available for medical data.We have already established a research partnership with intelliHQ. In additional to preliminary work on automating the patient referral process, we are completing a project this year about improving the currently used ICU severity scoring system by incorporating high-frequency data (see separate abstract). This research is being conducted by an Actuarial Honours student. In the future, we will have a growing number of such students with high-level quantitative and statistical skills looking for applied research projects.

M3 - Paper

ER -