Objective
"Mental health represents a major worry in most countries while providing a good diagnosis is a hard task. A reliable system for assessing mental disorders is crucial for helping clinicians and patients achieve accurate diagnoses and treatment. Research has long established that certain vocal features are linked to mental health disorders, allowing a machine learning model to learn how to classify different mental disorders using voice. Artificial intelligence (AI) has been providing excellent responses diagnosing mental diseases so far but, remarkably, they often operate as ""black boxes"" that do not allow for an understanding of how they make their decisions. This makes it mandatory to perform a thorough study on the system in order to achieve fairness, explainability and trustworthiness.
This project aims to develop an open source AI based model, explainable and transparent, that can assess between many mental illnesses using voice recordings from a patient, contributing from the study, analysis and understanding of the problem, providing greater interpretability, security and extrapolation ability. The project will be divided in three stages, curation of dataset, the development of the system and exhaustive explainability and fairness analysis over the system.
This tool does not replace a clinician diagnosis, it intends to help them decide in dubious cases, with non invasive, cheap and easy tests that can be performed with a cell phone by the patient or his/her family to keep a daily control.
This is a multidisciplinary project that combines health sciences, machine learning and mathematical modelling. This project also intends to share expertise with the host organization and equip the candidate with training advanced methodologies. The results could substantially enhance the effectiveness of mental health diagnosing. This project aligns with the EU’s strategy for safeguarding public health."
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 software software applications simulation software
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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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) HORIZON-MSCA-2024-PF-01
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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.
50009 ZARAGOZA
Spain
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.