Linkage Projects - Grant ID: LP160100630

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP160100630

Funding Status
Closed

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Funded Activity Summary

Cohort discovery and activity mining for policy impact prediction. Cohort discovery and activity mining for policy impact prediction. This project aims to develop an intelligent systematic framework to predict policy impacts on Australian patients, by discovering inherent patient cohorts and assessing the impact of the policies on these cohorts. The proposed methods lay the theoretical foundations for building intelligent automated tools for policy assessment. Expected outcomes are data-driven patient group discovery, which could more precisely identify the patient cohorts most likely to benefit from a specific policy; and a model to predict the efficacy of policy options, which could increase the sustainability of the national health system by enabling smarter, more efficient policy decision-making.

Funded Activity Details

Start Date: 18-07-2016

End Date: 18-07-2020

Funding Scheme: Linkage Projects

Funding Amount: $520,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Health Policy Evaluation |

Other Keywords

Artificial Intelligence and Image Processing | Health Policy Evaluation | Pattern Recognition and Data Mining

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