Research output per year
Research output per year
Personal profile
Ancillary activities
No ancillary activities
Ancillary activities are updated daily
Fingerprint
Dive into the research topics where Khadicha Amarti is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review
Ciharova, M., Amarti, K., van Breda, W., Peng, X., Lorente Catala, R., Funk, B., Hoogendoorn, M., Koutsouleris, N., Fusar-Poli, P., Karyotaki, E., Cuijpers, P. & Riper, H. M., 1 Oct 2024, In: Biological Psychiatry. 96, 7, p. 519-531 13 p.Research output: Contribution to Journal › Review article › Academic › peer-review
Open Access -
E-mental health implementation in inpatient care: Exploring its potential and future challenges
Van Assche, E., Bonroy, B., Mertens, M., Van den Broeck, L., Desie, K., Bolinski, F., Amarti, K., Kleiboer, A., Riper, H. & Van Daele, T., 14 Dec 2022, In: Frontiers in Digital Health. 4, 1027864.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Feasibility of Digital Cognitive Behavioral Therapy for Depressed Older Adults With the Moodbuster Platform: Protocol for 2 Pilot Feasibility Studies
Amarti, K., Schulte, M. H. J., Kleiboer, A., Van Genugten, C. R., Oudega, M., Sonnenberg, C., Gonçalves, G. C., Rocha, A. & Riper, H., Oct 2022, In: JMIR Research Protocols. 11, 10, 13 p., e41445.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice
el Hassouni, A., Hoogendoorn, M., Ciharova, M., Kleiboer, A., Amarti, K., Muhonen, V., Riper, H. & Eiben, A. E., 2022, Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I. Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Jansen, G., Pardalos, P. M., Giuffrida, G. & Umeton, R. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 1. p. 265-280 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13163 LNCS).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile108 Downloads (Pure)
Courses
Projects
- 1 Finished
-
e-Mental Health Innovation and Transnational Implementational Platform NW-Europe
Boumparis, N. (Project Researcher), Kleiboer, A. (Project Researcher), Sijbrandij, M. (Project Researcher), Asselbergs, J. (Project Researcher), Ruwaard, J. (Project Researcher), Cuijpers, P. (Project Researcher), Riper, H. (Principal Investigator), Vis, C. (Project Researcher), Kolovos, S. (Project Researcher), Romijn, G. (Project Researcher), Provoost, S. (Project Researcher), Bolinski, F. (Project Researcher) & Amarti, K. (Project Researcher)
1/06/16 → 1/06/20
Project: Research