Author

Amanda Jayne Centi

Partners HealthCare Connected HealthORCID 0000-0002-4513-2408Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1

Frequent Co-Authors

Joseph C. KvedariD· 1 shared Kamal JethwaniiD· 1 shared Mursal AtifiD· 1 shared Ramin MohammadiiD· 1 shared Sagar V. KamarthiiD· 1 shared Stephen Olusegun AgboolaiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Joseph C. KvedarORCID

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1 paper

Recent·Most cited

A Neural Network Based Algorithm for Dynamically Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers

Ramin Mohammadi, Amanda Jayne Centi, Mursal Atif, Stephen Olusegun Agboola, Kamal Jethwani, Joseph C. Kvedar, Sagar V. Kamarthi

This paper develops a machine learning model to dynamically adjust activity targets for users of activity trackers to improve adherence by personalizing goals based on historical data and environmental factors.

JMIR mhealth and uhealth · Sep 8, 2020Peer-reviewedBioinformatics