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Iñigo Urteaga

Showing results (1-10 of 9) with videos related to

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NPJ Digital Medicine|June 30, 2020
Learning endometriosis phenotypes from patient-generated dataIñigo Urteaga, Mollie McKillop, Noémie Elhadad
ACM Transactions on Computer-Human Interaction : a Publication of the Association for Computing Machinery|September 29, 2025
Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning PerspectivesAdrienne Pichon, Iñigo Urteaga, Lena Mamykina, et al.
Ground Water|March 5, 2010
On integrating groundwater transport models with wireless sensor networksKevin Barnhart, Iñigo Urteaga, Qi Han, et al.
Journal of the American Medical Informatics Association : JAMIA|March 14, 2026
Exploring approaches to computational representation and classification of user-generated meal logsGuanlan Hu, Adit Anand, Pooja M Desai, et al.
Proceedings of Machine Learning Research|January 24, 2022
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length PredictionIñigo Urteaga, Kathy Li, Amanda Shea, et al.
Journal of the American Medical Informatics Association : JAMIA|September 17, 2021
A predictive model for next cycle start date that accounts for adherence in menstrual self-trackingKathy Li, Iñigo Urteaga, Amanda Shea, et al.
Npj Women'S Health|June 12, 2026
A Foundation Model for Capturing Complexity of Menstrual Health DataRobin Linzmayer, Chao Pang, Iñigo Urteaga, et al.
NPJ Digital Medicine|June 9, 2020
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health dataKathy Li, Iñigo Urteaga, Chris H Wiggins, et al.
Journal of the American Medical Informatics Association : JAMIA|January 8, 2025
AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validationShalmali Joshi, Iñigo Urteaga, Wouter A C van Amsterdam, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
NPJ Digital Medicine|June 30, 2020
Learning endometriosis phenotypes from patient-generated dataIñigo Urteaga, Mollie McKillop, Noémie Elhadad
ACM Transactions on Computer-Human Interaction : a Publication of the Association for Computing Machinery|September 29, 2025
Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning PerspectivesAdrienne Pichon, Iñigo Urteaga, Lena Mamykina, et al.
Ground Water|March 5, 2010
On integrating groundwater transport models with wireless sensor networksKevin Barnhart, Iñigo Urteaga, Qi Han, et al.
Journal of the American Medical Informatics Association : JAMIA|March 14, 2026
Exploring approaches to computational representation and classification of user-generated meal logsGuanlan Hu, Adit Anand, Pooja M Desai, et al.
Proceedings of Machine Learning Research|January 24, 2022
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length PredictionIñigo Urteaga, Kathy Li, Amanda Shea, et al.
Journal of the American Medical Informatics Association : JAMIA|September 17, 2021
A predictive model for next cycle start date that accounts for adherence in menstrual self-trackingKathy Li, Iñigo Urteaga, Amanda Shea, et al.
Npj Women'S Health|June 12, 2026
A Foundation Model for Capturing Complexity of Menstrual Health DataRobin Linzmayer, Chao Pang, Iñigo Urteaga, et al.
NPJ Digital Medicine|June 9, 2020
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health dataKathy Li, Iñigo Urteaga, Chris H Wiggins, et al.
Journal of the American Medical Informatics Association : JAMIA|January 8, 2025
AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validationShalmali Joshi, Iñigo Urteaga, Wouter A C van Amsterdam, et al.
Pageof 1