Search results
Results: 186
Number of items: 186
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Hos, C., Tebbens, M., Bezema, T., Bosch, J. A., Kraneveld, A. D., Spooren, C. E. G. M., de Haas, M. C., Stokkers, P. C. F., Duijvestein, M., Bouma, G., & te Velde, A. A. (2024). Using Participatory Narrative Inquiry to Assess Experiences and Self-Experimentation with Diet Interventions in Inflammatory Bowel Disease Patients. Nutrients, 16(23), Article 4027. https://doi.org/10.3390/nu16234027 -
Douma, E. R., Roovers, T., Habibović, M., de Bruijn, G.-J., Bosch, J. A., Schmitz, B., Kop, W. J., & TIMELY consortium (2024). Effectiveness of behavior change techniques in eHealth-based cardiac rehabilitation in patients with coronary artery disease: A systematic review: Effective behavior change techniques in eHealth CR. American Journal of Preventive Cardiology, 20, Article 100892. https://doi.org/10.1016/j.ajpc.2024.100892
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Gehlen, J., Li, J., Hourican, C., Tassi, S., Mishra, P. P., Lehtimäki, T., Kähönen, M., Raitakari, O., Bosch, J. A., & Quax, R. (2024). Bias in O-Information Estimation. Entropy, 26(10), Article 837. https://doi.org/10.3390/e26100837
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Sun, X., Liu, Y., de Wit, J., Bosch, J. A., & Li, Z. (2024). Trust by Interface: How Different User Interfaces Shape Human Trust in Health Information from Large Language Models. In CHI '24: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems Article 344 The Association for Computing Machinery. https://doi.org/10.1145/3613905.3650837
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Sun, X., Pei, J., de Wit, J., Aliannejadi, M., Krahmer, E., Dobber, J. T. P., & Bosch, J. A. (2024). Eliciting Motivational Interviewing Skill Codes in Psychotherapy with LLMs: A Bilingual Dataset and Analytical Study. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): main conference proceedings : 20-25 May, 2024, Torino, Italia (pp. 5609-5621). (COLING), (LREC). ELRA Language Resources Association. https://aclanthology.org/2024.lrec-main.498/
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Sun, X., Teljeur, I., Li, Z., & Bosch, J. A. (2024). Can a Funny Chatbot Make a Difference? Infusing Humor into Conversational Agent for Behavioral Intervention. In Proceedings of the 6th Conference on ACM Conversational User Interfaces (CUI 2024): 8-10th July 2024, Luxembourg City, Luxembourg Article 3 The Association for Computing Machinery. https://doi.org/10.1145/3640794.3665555
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Koloi, A., Loukas, V. S., Hourican, C., Sakellarios, A. I., Quax, R., Mishra, P. P., Lehtimäki, T., Raitakari, O. T., Papaloukas, C., Bosch, J. A., März, W., & Fotiadis, D. I. (2024). Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data. European Heart Journal - Digital Health, 5(5), 542-550. https://doi.org/10.1093/ehjdh/ztae049
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Douma, E. R., Wirtz, S., Sestayo Fernandez, M., Schäfer, H., Widdershoven, J. W. M. G., Habibović, M., Peña Gil, C., Bosch, J. A., Schmitz, B., & Kop, W. J. (2024). Patient-reported preferences in eHealth-based cardiac rehabilitation: A qualitative investigation of behavior change techniques, barriers and facilitators. Internet Interventions, 35, Article 100728. https://doi.org/10.1016/j.invent.2024.100728
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Koloi, A., Loukas, V. S., Sakellarios, A., Bosch, J. A., Quax, R., Nowakowska, K., Tachos, N., Kaźmierski, J., Papaloukas, C., & Fotiadis, D. (2023). A comparison study on creating simulated patient data for individuals suffering from chronic coronary disorders. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC): proceedings : Sydney, Australia, 24-27 July 2023 (pp. 3630-3633). IEEE. https://doi.org/10.1109/EMBC40787.2023.10340194
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