Objective
The proposed multidisciplinary project aims to develop an automated tool to process large-scale social media data in order to understand patient feedback and provide a decision support dashboard for healthcare professionals and senior decision-makers to allow for timely responses to address patients' concerns. In particular, it will extract information relating to patient feedback and experience, automatically map the extracted opinions into various aspects of healthcare services, discover connections between elements that result in a perception of low and high quality of service and present results in a visual dashboard to facilitate timely interventions.
The project requires expertise in text mining, statistical modelling, visual analytics and healthcare research. The Systems Analytics Research Institute (SARI) at Aston University will provide a suite of scientific training in Bayesian model learning and information visualisation. Additionally, the Fellow will be trained to improve his soft-skills such as foreground intellectual property (IP) protection, communication skills, financial and management skills. On the other hand, the research team will benefit from the Fellow’s strong experience in deep learning for sentiment analysis, acquired during his PhD. The Fellow will benefit from a tightly knit and extremely complementary team of academic and clinical advisors. This project will be directed by Dr. Yulan He with complementary interaction with Dr. Dan Cornford, both from SARI. Additionally, it will be carried out in collaboration with Research and Development department of Heart of England NHS Foundation Trust (HEFT), under the supervision of Dr. Dawn Chaplin, expert in patient experience analysis. Dr. Chaplin will take an active role in training the Fellow in their relevant user studies.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- medical and health sciences health sciences health care services
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
CV4 8UW COVENTRY
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.