(POSTER) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data

Francesca Palermo; Honglin Li; Alexander Capstick; Nan Fletcher-Lloyd; Yuchen Zhao; Samaneh Kouchaki; Ramin Nilforooshan; David Sharp; Payam Barnaghi

(POSTER) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data

Francesca Palermo, Honglin Li, Alexander Capstick, Nan Fletcher-Lloyd, Yuchen Zhao, Samaneh Kouchaki, Ramin Nilforooshan, David Sharp, Payam Barnaghi

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	Undefined/Unknown
Title of host publication	NeurIPS '21 Workshop - Bridging the Gap: From Machine Learning Research to Clinical Practice
Publication status	Published - 2021

Bibliographical note

arXiv:2110.09868

Access to Document

https://arxiv.org/abs/2110.09868

Cite this

Palermo, F., Li, H., Capstick, A., Fletcher-Lloyd, N., Zhao, Y., Kouchaki, S., Nilforooshan, R., Sharp, D., & Barnaghi, P. (2021). (POSTER) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. In NeurIPS '21 Workshop - Bridging the Gap: From Machine Learning Research to Clinical Practice https://arxiv.org/abs/2110.09868

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title = "(POSTER) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data",

author = "Francesca Palermo and Honglin Li and Alexander Capstick and Nan Fletcher-Lloyd and Yuchen Zhao and Samaneh Kouchaki and Ramin Nilforooshan and David Sharp and Payam Barnaghi",

note = "arXiv:2110.09868",

year = "2021",

language = "Undefined/Unknown",

booktitle = "NeurIPS '21 Workshop - Bridging the Gap: From Machine Learning Research to Clinical Practice",

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Palermo, F, Li, H, Capstick, A, Fletcher-Lloyd, N, Zhao, Y, Kouchaki, S, Nilforooshan, R, Sharp, D & Barnaghi, P 2021, (POSTER) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. in NeurIPS '21 Workshop - Bridging the Gap: From Machine Learning Research to Clinical Practice. <https://arxiv.org/abs/2110.09868>

(POSTER) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data. / Palermo, Francesca; Li, Honglin; Capstick, Alexander et al.
NeurIPS '21 Workshop - Bridging the Gap: From Machine Learning Research to Clinical Practice. 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - (POSTER) Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data

AU - Palermo, Francesca

AU - Li, Honglin

AU - Capstick, Alexander

AU - Fletcher-Lloyd, Nan

AU - Zhao, Yuchen

AU - Kouchaki, Samaneh

AU - Nilforooshan, Ramin

AU - Sharp, David

AU - Barnaghi, Payam

N1 - arXiv:2110.09868

PY - 2021

Y1 - 2021

M3 - Conference contribution

BT - NeurIPS '21 Workshop - Bridging the Gap: From Machine Learning Research to Clinical Practice

ER -