Using Principal Component Analysis to Aid Bayesian Network Development for Prediction of Critical Care Patient Outcomes

Cindy Crump; Christine Tsien Silvers; Bruce Wilson; Loretta Schlachta-Fairchild; Colleen A. Lingley-Papadopoulos; Jeffrey S. Ashley

doi:10.1097/ta.0b013e3182250184

Using Principal Component Analysis to Aid Bayesian Network Development for Prediction of Critical Care Patient Outcomes

Journal of Trauma and Acute Care Surgery ◽

10.1097/ta.0b013e3182250184 ◽

2011 ◽

Vol 71 (6) ◽

pp. 1841-1849 ◽

Cited By ~ 3

Author(s):

Cindy Crump ◽

Christine Tsien Silvers ◽

Bruce Wilson ◽

Loretta Schlachta-Fairchild ◽

Colleen A. Lingley-Papadopoulos ◽

...

Keyword(s):

Principal Component Analysis ◽

Critical Care ◽

Bayesian Network ◽

Patient Outcomes ◽

Principal Component ◽

Critical Care Patient ◽

Component Analysis ◽

Care Patient ◽

Network Development

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Investigation of Environmental Pollution of Offshore Gas Platforms in South Pars Field with Principal Component Analysis and Bayesian Network Model from 2019 to 2020: A Descriptive Study

Journal of Rafsanjan University of Medical Sciences ◽

10.52547/jrums.20.8.905 ◽

2021 ◽

Vol 20 (8) ◽

pp. 905-920

Author(s):

R. Mohammad Zadeh ◽

M. Mirza Ebrahim Tehrani ◽

S. A. Jozi ◽

R. Moogouei ◽

◽

...

Keyword(s):

Principal Component Analysis ◽

Bayesian Network ◽

Environmental Pollution ◽

Network Model ◽

Principal Component ◽

Descriptive Study ◽

Component Analysis ◽

Bayesian Network Model

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Intelligent decision method of sludge bulking using recursive kernel principal component analysis and Bayesian network

Control Engineering Practice ◽

10.1016/j.conengprac.2021.105038 ◽

2022 ◽

Vol 121 ◽

pp. 105038

Author(s):

Zheng Liu ◽

Hong-Gui Han ◽

Li-Xin Dong ◽

Hong-Yan Yang ◽

Jun-Fei Qiao

Keyword(s):

Principal Component Analysis ◽

Bayesian Network ◽

Principal Component ◽

Component Analysis ◽

Kernel Principal Component Analysis ◽

Decision Method ◽

Sludge Bulking ◽

Intelligent Decision

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Soft sensor design and fault detection using Bayesian network and probabilistic principal component analysis

Journal of Advanced Manufacturing and Processing ◽

10.1002/amp2.10027 ◽

2019 ◽

Vol 1 (4) ◽

Cited By ~ 2

Author(s):

Ahad Mohammadi ◽

Reza Zarghami ◽

Dimitri Lefebvre ◽

Shahab Golshan ◽

Navid Mostoufi

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Bayesian Network ◽

Principal Component ◽

Component Analysis ◽

Soft Sensor ◽

Sensor Design ◽

Probabilistic Principal Component Analysis

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A Naive Bayesian Network Intrusion Detection Algorithm Based on Principal Component Analysis

2015 7th International Conference on Information Technology in Medicine and Education (ITME) ◽

10.1109/itme.2015.29 ◽

2015 ◽

Cited By ~ 4

Author(s):

Xiaoyan Han ◽

Liancheng Xu ◽

Min Ren ◽

Weiping Gu

Keyword(s):

Principal Component Analysis ◽

Intrusion Detection ◽

Bayesian Network ◽

Principal Component ◽

Component Analysis ◽

Detection Algorithm ◽

Network Intrusion Detection ◽

Naive Bayesian ◽

Network Intrusion ◽

Naïve Bayesian

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Impact of outlier status on critical care patient outcomes: Does boarding medical intensive care unit patients make a difference?

Journal of Critical Care ◽

10.1016/j.jcrc.2017.10.004 ◽

2018 ◽

Vol 44 ◽

pp. 13-17 ◽

Cited By ~ 3

Author(s):

Danish Ahmad ◽

Katherine Moeller ◽

Jared Chowdhury ◽

Vishal Patel ◽

Erika J. Yoo

Keyword(s):

Intensive Care Unit ◽

Critical Care ◽

Intensive Care ◽

Patient Outcomes ◽

Medical Intensive Care Unit ◽

Critical Care Patient ◽

Care Patient ◽

Medical Intensive Care

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Learning Bayesian Network Structure Using Genetic Algorithm with Consideration of the Node Ordering via Principal Component Analysis

Journal of the Iranian Statistical Society ◽

10.18869/acadpub.jirss.15.2.45 ◽

2016 ◽

Vol 15 (2) ◽

pp. 45-62

Author(s):

Vahid Rezaei Tabar ◽

◽

Maryam Mahdavi ◽

‎Saghar Heidari ◽

Sima Naghizadeh ◽

...

Keyword(s):

Genetic Algorithm ◽

Principal Component Analysis ◽

Bayesian Network ◽

Network Structure ◽

Principal Component ◽

Component Analysis ◽

Bayesian Network Structure

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Optimized principal component analysis and multi-state Bayesian network integrated method for chemical process monitoring and variable state prediction

Chemical Engineering Journal ◽

10.1016/j.cej.2021.132617 ◽

2021 ◽

pp. 132617

Author(s):

Nan Liu ◽

Ji Wang ◽

Suli Sun ◽

Chuankun Li ◽

Wende Tian

Keyword(s):

Principal Component Analysis ◽

Bayesian Network ◽

Process Monitoring ◽

Chemical Process ◽

Principal Component ◽

Component Analysis ◽

Integrated Method ◽

State Prediction ◽

Chemical Process Monitoring

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A Bayesian network intrusion detection algorithm based on principal component analysis and sliding window

International Journal of Security and Networks ◽

10.1504/ijsn.2014.066177 ◽

2014 ◽

Vol 9 (4) ◽

pp. 216

Author(s):

Zuhong Feng ◽

Jing Li ◽

Jie Hu Meichsner

Keyword(s):

Principal Component Analysis ◽

Intrusion Detection ◽

Bayesian Network ◽

Principal Component ◽

Sliding Window ◽

Component Analysis ◽

Detection Algorithm ◽

Network Intrusion Detection ◽

Network Intrusion

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Dynamic Failure Analysis of Process Systems Using Principal Component Analysis and Bayesian Network

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.6b03356 ◽

2017 ◽

Vol 56 (8) ◽

pp. 2094-2106 ◽

Cited By ~ 18

Author(s):

Sunday A. Adedigba ◽

Faisal Khan ◽

Ming Yang

Keyword(s):

Principal Component Analysis ◽

Failure Analysis ◽

Bayesian Network ◽

Principal Component ◽

Component Analysis ◽

Dynamic Failure ◽

Process Systems

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A Framework to Automate Fault Detection and Diagnosis Based on Moving Window Principal Component Analysis and Bayesian Network

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107837 ◽

2021 ◽

pp. 107837

Author(s):

Arthur Henrique de Andrade Melani ◽

Miguel Angelo de Carvalho Michalski ◽

Renan Favarão da Silva ◽

Gilberto Francisco Martha de Souza

Keyword(s):

Principal Component Analysis ◽

Fault Detection ◽

Bayesian Network ◽

Principal Component ◽

Component Analysis ◽

Fault Detection And Diagnosis ◽

Moving Window ◽

Detection And Diagnosis

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