Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records

Gavin Tsang; Shang Ming Zhou; Xianghua Xie

doi:10.1109/jtehm.2020.3040236

Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records

Gavin Tsang, Shang Ming Zhou, Xianghua Xie^*

^*Corresponding author for this work

School of Nursing and Midwifery

Swansea University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1-13
Number of pages	0
Journal	IEEE Journal of Translational Engineering in Health and Medicine
Volume	9
Issue number	0
DOIs	https://doi.org/10.1109/jtehm.2020.3040236
Publication status	Published - 2021

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10.1109/jtehm.2020.3040236

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title = "Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records",

author = "Gavin Tsang and Zhou, \{Shang Ming\} and Xianghua Xie",

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AU - Tsang, Gavin

AU - Zhou, Shang Ming

AU - Xie, Xianghua

PY - 2021

Y1 - 2021

UR - https://pearl.plymouth.ac.uk/nm-research/732/

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DO - 10.1109/jtehm.2020.3040236

M3 - Article

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JO - IEEE Journal of Translational Engineering in Health and Medicine

JF - IEEE Journal of Translational Engineering in Health and Medicine

IS - 0

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Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients Using Primary Care Electronic Health Records

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