2025
Aledavood, T., Luong, N., Baryshnikov, I., Darst, R., Heikkilä, R., Holmén, J., Ikäheimonen, A., Martikkala, A., Riihimäki, K., Saleva, O. … & Isometsä, E., 2025. Multimodal Digital Phenotyping Study in Patients With Major Depressive Episodes and Healthy Controls (Mobile Monitoring of Mood): Observational Longitudinal Study. JMIR Mental Health, 12, p.e63622. Link.
Ikäheimonen, A., Luong, N., Baryshnikov, I., John, T., Martikkala, A., Isometsä, E. and Aledavood, T., 2025. Variability in Self-reported Depression Symptomology and Associated Mobile-Sensed Behavioral Patterns in Digital Phenotyping: An Observational Study. medRxiv, pp.2025-03. In review. Link.
Mahir, A., Luong, N., Baryshnikov, I., Martikkala, A., Isometsa, E. and Aledavood, T., 2025. Multi-Modal Sleep Measurement and Alignment Analysis in Outpatients with Major Depressive Episode. medRxiv, pp.2025-04. In review. Link.
Yuan, Y., Gao, Y., Moen, H., Isometsä, E., Marttinen, P. and Aledavood, T., 2025. Leveraging Large Language Models for Digital Phenotyping: Detecting Depressive State Changes for Patients with Depressive Episodes. medRxiv, pp.2025-05. Link.
2024
Yuan, Y., Kasson, E., Taylor, J., Cavazos-Rehg, P., De Choudhury, M., & Aledavood, T. (2024). Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach. JMIR Formative Research, 8, e54433. Link.
Ikäheimonen, A., Luong, N., Baryshnikov, I., Darst, R., Heikkilä, R., Holmen, J., Martikkala, A., Riihimäki, K., Saleva, O., Isometsä, E. and Aledavood, T., 2024. Predicting and Monitoring Symptoms in Patients Diagnosed With Depression Using Smartphone Data: Observational Study. Journal of Medical Internet Research, 26, p.e56874. Link.
Ikäheimonen, A., Li, J., Yao, K., Zuo, S., Aledavood, T., & Hölttä-Otto, K. (2024). Replicability and reproducibility of data-intensive design research using workflows-example in facial expression synchrony as a measure of empathy. Journal of Engineering Design, 1-21. Link.
Luong, N., Mark, G., Kulshrestha, J., & Aledavood, T. (2024). Sleep During the COVID-19 Pandemic: Longitudinal Observational Study Combining Multisensor Data With Questionnaires. JMIR mHealth and uHealth, 12(1), e53389. Link.
Aledavood, T., Luong, N., Baryshnikov, I., Darst, R., Heikkila, R., Holmen, J., ... & Isometsa, E. (2024). Mobile Monitoring of Mood (MoMo-Mood): a Multimodal Digital Phenotyping Study with Major Depressive Patients and Healthy Controls. In Review. Link.
2023
Luong, N., Barnett, I., & Aledavood, T. (2023). The impact of the COVID-19 pandemic on daily rhythms. Journal of the American Medical Informatics Association, 30(12), 1943–1953. Link.
Ikäheimonen, A., Triana, A. M., Luong, N., Ziaei, A., Rantaharju, J., Darst, R., & Aledavood, T. (2023). Niimpy: a toolbox for behavioral data analysis. SoftwareX, 23, 101472. Link.
Yuan, Y., Saha, K., Keller, B., Isometsä, E. T., & Aledavood, T. (2023). Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect. In Proceedings of the ACM Web Conference 2023 (pp. 2677-2685). Link.
Yuan, Y., Verma, G., Keller, B., & Aledavood, T. (2023). Minority Stress Experienced by LGBTQ Online Communities during the COVID-19 Pandemic. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 17, pp. 936-947). Link.
Baryshnikov, I., Aledavood, T., Rosenström, T., Heikkilä, R., Darst, R., Riihimäki, K., Saleva, O., Ekelund, J. and Isometsä, E. (2023). Relationship between daily rated depression symptom severity and the retrospective self-report on PHQ-9: A prospective ecological momentary assessment study on 80 psychiatric outpatients. Journal of Affective Disorders, 324, 170-174. Link.
2022
Aledavood, T., Kivimäki, I., Lehmann, S., & Saramäki, J. (2022). Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data. Scientific reports, 12(1), 5544. Link.
2020
Triana Hoyos, A.M., Martikkala, A., Baryshnikov, I., Heikkilä, R., Alakörkkö, T., Darst, R.K., Ekelund, J., Isometsä, E., Aledavood, T. (2020). Mobile monitoring of mood (momo-mood) pilot: A longitudinal, multi-sensor digital phenotyping study of patients with major depressive disorder and healthy controls. medRxiv, 2020-11. Link.
2019
Aledavood, T., Torous, J., Triana Hoyos, A.M. et al. Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders. Curr Psychiatry Rep 21, 49 (2019). Link.
2018
Aledavood, T., Lehmann, S., & Saramäki, J. (2018). Social network differences of chronotypes identified from mobile phone data. EPJ Data Science, 7(1), 1-13. Link.
2017
Aledavood, T., Hoyos, A. M. T., Alakörkkö, T., Kaski, K., Saramäki, J., Isometsä, E., & Darst, R. K. (2017). Data collection for mental health studies through digital platforms: requirements and design of a prototype. JMIR research protocols, 6(6), e6919. Link.
2016
Kujala, R., Aledavood, T., & Saramäki, J. (2016). Estimation and monitoring of city-to-city travel times using call detail records. EPJ Data Science, 5(1), 1-16. Link.
Aledavood, T., López, E., Roberts, S. G., Reed-Tsochas, F., Moro, E., Dunbar, R. I., & Saramäki, J. (2016). Channel-specific daily patterns in mobile phone communication. In Proceedings of ECCS 2014: European Conference on Complex Systems (pp. 209-218). Springer International Publishing. Link.