Deep learning model for the prediction of all-cause mortality among long term care people in China: a prospective cohort study

Huai Cheng Tan; Li Jun Zeng; Shu Juan Yang; Li Sha Hou; Jin Hui Wu; Xin Hui Cai; Fei Heng; Xu Yu Gu; Yue Zhong; Bi Rong Dong; Qing Yu Dou

doi:10.1038/s41598-024-65601-4

Deep learning model for the prediction of all-cause mortality among long term care people in China: a prospective cohort study

Huai Cheng Tan
, Li Jun Zeng
, Shu Juan Yang
, Li Sha Hou
, Jin Hui Wu
, Xin Hui Cai
, Fei Heng
, Xu Yu Gu
, Yue Zhong
, Bi Rong Dong
, Qing Yu Dou

Univ. of North Carolina-Charlotte

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

Original language	English
Article number	14639
Pages (from-to)	14639
Journal	Scientific Reports
Volume	14
Issue number	1
DOIs	https://doi.org/10.1038/s41598-024-65601-4
State	Published - Jun 25 2024
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

General

Keywords

Disability
Long-term care
Predictors
Risk stratification
Prospective Studies
Prognosis
Risk Assessment
Humans
Risk Factors
Male
Long-Term Care
Mortality/trends
Deep Learning
Cause of Death
Disabled Persons/statistics & numerical data
Aged, 80 and over
Female
Aged
China/epidemiology

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10.1038/s41598-024-65601-4

Cite this

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title = "Deep learning model for the prediction of all-cause mortality among long term care people in China: a prospective cohort study",

keywords = "Disability, Long-term care, Predictors, Risk stratification, Prospective Studies, Prognosis, Risk Assessment, Humans, Risk Factors, Male, Long-Term Care, Mortality/trends, Deep Learning, Cause of Death, Disabled Persons/statistics \& numerical data, Aged, 80 and over, Female, Aged, China/epidemiology",

author = "Tan, \{Huai Cheng\} and Zeng, \{Li Jun\} and Yang, \{Shu Juan\} and Hou, \{Li Sha\} and Wu, \{Jin Hui\} and Cai, \{Xin Hui\} and Fei Heng and Gu, \{Xu Yu\} and Yue Zhong and Dong, \{Bi Rong\} and Dou, \{Qing Yu\}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",

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day = "25",

doi = "10.1038/s41598-024-65601-4",

language = "English",

volume = "14",

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journal = "Scientific Reports",

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}

TY - JOUR

T1 - Deep learning model for the prediction of all-cause mortality among long term care people in China

T2 - a prospective cohort study

AU - Tan, Huai Cheng

AU - Zeng, Li Jun

AU - Yang, Shu Juan

AU - Hou, Li Sha

AU - Wu, Jin Hui

AU - Cai, Xin Hui

AU - Heng, Fei

AU - Gu, Xu Yu

AU - Zhong, Yue

AU - Dong, Bi Rong

AU - Dou, Qing Yu

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024/6/25

Y1 - 2024/6/25

KW - Disability

KW - Long-term care

KW - Predictors

KW - Risk stratification

KW - Prospective Studies

KW - Prognosis

KW - Risk Assessment

KW - Humans

KW - Risk Factors

KW - Male

KW - Long-Term Care

KW - Mortality/trends

KW - Deep Learning

KW - Cause of Death

KW - Disabled Persons/statistics & numerical data

KW - Aged, 80 and over

KW - Female

KW - Aged

KW - China/epidemiology

UR - https://www.scopus.com/pages/publications/85196832162

UR - https://www.scopus.com/pages/publications/85196832162#tab=citedBy

UR - https://www.mendeley.com/catalogue/a7970688-2a64-3965-b6e2-877c2808ee4f/

U2 - 10.1038/s41598-024-65601-4

DO - 10.1038/s41598-024-65601-4

M3 - Article

C2 - 38918463

AN - SCOPUS:85196832162

SN - 2045-2322

VL - 14

SP - 14639

JO - Scientific Reports

JF - Scientific Reports

IS - 1

M1 - 14639

ER -

Deep learning model for the prediction of all-cause mortality among long term care people in China: a prospective cohort study

UN SDGs

ASJC Scopus Subject Areas

Keywords

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