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Mark J. Panaggio

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2020 – today

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2022
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  - journals/corr/abs-2211-00708
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Mark J. Panaggio, Mike Fang, Hyunseung Bang, Paige A. Armstrong, Alison M. Binder, Julian E. Grass, Jake Magid, Marc Papazian, Carrie K. Shapiro-Mendoza, Sharyn E. Parks:
Inferring school district learning modalities during the COVID-19 pandemic with a hidden Markov model. CoRR abs/2211.00708 (2022)
2021
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Mark J. Panaggio, Daniel M. Abrams, Fan Yang, Tanvi Banerjee, Nirmish Shah:
Can subjective pain be inferred from objective physiological data? Evidence from patients with sickle cell disease. PLoS Comput. Biol. 17(3) (2021)

2010 – 2019

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2019
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Fan Yang, Tanvi Banerjee, Mark J. Panaggio, Daniel M. Abrams, Nirmish Shah:
Continuous Pain Assessment Using Ensemble Feature Selection from Wearable Sensor Data. BIBM 2019: 569-576

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