Centre of Artificial Intelligence for Mental Health

Address

  • United Kingdom

Organization profile

Profile Information

This new Centre operates at the intersection of two ASRIs: Artificial Intelligence and Mental Health. Its scope is to apply AI methods - machine learning, reasoning, knowledge graphs - to various mental health diseases. The initial set of diseases include ADHD, autism and suicide prevention, but is expected to be expanded in the course of the Centre’s operation.

Goals  

 

  • To carry out internationally outstanding research in AI for mental health.
  • To create a team of research active staff with a common interest in AI for mental health.
  • To provide support for existing staff and to build capacity in areas of strategic research importance.  
  • To produce high quality publications.
  • To improve the standard of publications produced by staff and to broaden the scope of publication options.
  • To secure high profile research grants.
  • To increase international links with world class universities.
  • To attract high calibre research students.
  • To identify the needs of end users and to develop innovative, multi-disciplinary solutions to those needs.
  • To produce research that impacts on policy and practice.
  • To disseminate research beyond academia.

 

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  • A Decision Tree-initialised Neuro-fuzzy Approach for Clinical Decision Support

    Chen, T., Shang, C., Su, P., Keravnou-Papailiou, E., Zhao, Y., Antoniou, G. & Shen, Q., 1 Jan 2021, In: Artificial Intelligence in Medicine. 111, 13 p., 101986.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    3 Citations (Scopus)

  • A Hybrid Automated Planning Approach for Urban Real-time Routing of Connected Vehicles

    Vallati, M., Scala, E. & Chrpa, L., 15 Jun 2021, (Accepted/In press) Proceedings of 24th IEEE International Conference on Intelligent Transportation - ITSC2021. IEEE, 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • An Efficient Algorithm for Semi-stable Extensions

    Cerutti, F., Giacomin, M., Vallati, M. & Zanetti, T., 22 May 2021, AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Revised Selected Papers. Baldoni, M. & Bandini, S. (eds.). 1st ed. Cham: Springer Nature Switzerland AG, Vol. LNCS/LNAI 12414. p. 117-135 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12414 LNAI/LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

View all 70 research outputs
  • 1 Participating in a conference, workshop, ...
  • 1 Invited talk