Jenna M. Reinen

According to our database, Jenna M. Reinen authored at least 15 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Defining and validating a multidimensional digital metric of health states in chronic back and leg pain.

Jenna M. Reinen, Carla Agurto, Guillermo A. Cecchi, Richard Rauck, Eric Loudermilk, Julio Paez, Louis Bojrab, John Noles, Todd Turley, Mohab Ibrahim, Amol Patwardhan, James Scowcroft, Rene Przkora, Nathan Miller, Gassan Chaiban, Dat Huynh, Kristen Lechleiter, Brad Hershey, Rex Woon, Matt McDonald, Jeffrey L. Rogers

npj Digit. Medicine, 2025

2024

API Management in Digital Health: Exploring IBM API Connect and IBM API Hub in Enabling Healthcare Innovation.

Vince S. Siu, Italo Buleje, Takashi Itoh, Anil Hungund, Jenna M. Reinen, Carla Agurto, Michael Graziano, Kyle Frohling, Bing Dang, Jeffrey L. Rogers

Proceedings of the IEEE International Conference on Digital Health, 2024

Remotely-captured, free-text responses track with patient health states in chronic pain.

Jenna M. Reinen, Carla Agurto, Guillermo A. Cecchi, Jeffrey L. Rogers

Proceedings of the IEEE International Conference on Digital Health, 2024

Exploring Chronic Pain Experiences: Leveraging Text and Audio Analysis to Infer Well-Being Metrics.

Carla Agurto, Michele Merler, Jenna M. Reinen, Pritish Parida, Guillermo A. Cecchi, Jeffrey L. Rogers

Proceedings of the IEEE International Conference on Digital Health, 2024

2023

The roles, challenges, and merits of the p value.

Oliver Y. Chén, Julien S. Bodelet, Raúl G. Saraiva, Huy Phan, Junrui Di, Guy Nagels, Tom Schwantje, Hengyi Cao, Jiangtao Gou, Jenna M. Reinen, Bin Xiong, Bangdong Zhi, Xiaojun Wang, Maarten De Vos

Patterns, December, 2023

2022

PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization.

Shreyas Fadnavis, Amit Dhurandhar, Raquel Norel, Jenna M. Reinen, Carla Agurto, Erica Secchettin, Vittorio Schweiger, Giovanni Perini, Guillermo A. Cecchi

CoRR, 2022

Definition and clinical validation of Pain Patient States from high-dimensional mobile data: application to a chronic pain cohort.

Jenna M. Reinen, Carla Agurto, Guillermo A. Cecchi, Jeffrey L. Rogers, NAVITAS / ENVISION Studies Physician Author Group, Boston Scientific Research Scientists Consortium

Proceedings of the IEEE International Conference on Digital Health, 2022

2021

Identifying neural signatures mediating behavioral symptoms and psychosis onset: High-dimensional whole brain functional mediation analysis.

Oliver Y. Chén, Hengyi Cao, Huy Phan, Guy Nagels, Jenna M. Reinen, Jiangtao Gou, Tianchen Qian, Junrui Di, John Prince, Tyrone D. Cannon, Maarten De Vos

NeuroImage, 2021

2020

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish

CoRR, 2020

Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish

Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish

CoRR, 2019

Predicting conversion to psychosis in clinical high risk patients using resting-state functional MRI features.

Jolie McDonnell, William Hord, Jenna M. Reinen, Pablo Polosecki, Irina Rish, Guillermo A. Cecchi

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018

Ariadne: Analysis for Machine Learning Program.

Julian Dolby, Avraham Shinnar, Allison Allain, Jenna M. Reinen

CoRR, 2018

Ariadne: analysis for machine learning programs.

Julian Dolby, Avraham Shinnar, Allison Allain, Jenna M. Reinen

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018