Comparative performance indices of ANN and LR models when using 100 new data sets to predict in-hospital mortality.

Mortality assessment in intensive care units via adverse events using artificial neural networks

Silva, Álvaro
Cortez, Paulo
Santos, Manuel Filipe
Gomes, Lopes
Neves, José

January 2006

This work presents a novel approach for the prediction of mortality in intensive care units (ICUs) b...

Predicting In-Hospital Mortality from Intensive Care Admissions Records with Recurrent Neural Networks

Wilks, Asa

January 2021

This study explores the implications of different modeling choices when predicting mortalityduring i...

Analysis of Existing Severity Scores and Development of New Models for Hospital Mortality Prediction

Baden, Lucy Marie

January 2018

Severity scoring systems are frequently used in hospital intensive care units to assess patient well...

Comparison of 1000 pairs of ANN and LR models for predicting in-hospital mortality.

Hon-Yi Shi (105917)
King-Teh Lee (105939)
Hao-Hsien Lee (105924)
Wen-Hsien Ho (105934)
Ding-Ping Sun (324883)
Jhi-Joung Wang (324884)
Chong-Chi Chiu (105942)

February 2013

ANN = artificial neural network; LR = logistic regression; Hosmer-Lemeshow statistics = H-L stati...

Mortality prediction performance (i.e., accuracy, sensitivity, and specificity) for the LR, SVM, DT, NB, and ANN models on training and test sets.

Cheng-Shyuan Rau (478107)
Pao-Jen Kuo (3448835)
Peng-Chen Chien (4582963)
Chun-Ying Huang (4372900)
Hsiao-Yun Hsieh (3448832)
Ching-Hua Hsieh (478112)

November 2018

Mortality prediction performance (i.e., accuracy, sensitivity, and specificity) for the LR, SVM, DT,...

Comparison of Artificial Neural Network and Logistic Regression Models for Predicting In-Hospital Mortality after Primary Liver Cancer Surgery

Shi Hon-Yi
Lee King-Teh
Lee Hao-Hsien
Ho Wen-Hsien
Sun Ding-Ping
Wang Jhi-Joung
Chiu Chong-Chi

April 2012

Since most published articles comparing the performance of artificial neural network (ANN) models an...

Performance comparison of ANN, LR and DT models for predicting 1-, 3- and 5-year disease-free survival in validation groups.

Wen-Hsien Ho (105934)
King-Teh Lee (105939)
Hong-Yaw Chen (336306)
Te-Wei Ho (336308)
Herng-Chia Chiu (336309)

February 2013

Performance comparison of ANN, LR and DT models for predicting 1-, 3- and 5-year disease-free sur...

Comparison of artificial neural network and logistic regression models for predicting in-hospital mortality after primary liver cancer surgery.

Hon-Yi Shi
King-Teh Lee
Hao-Hsien Lee
Wen-Hsien Ho
Ding-Ping Sun
Jhi-Joung Wang
Chong-Chi Chiu

BACKGROUND: Since most published articles comparing the performance of artificial neural network (AN...

Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data

Eftekhar, Behzad
Mohammad, Kazem
Ardebili, Hassan Eftekhar
Ghodsi, Mohammad
Ketabchi, Ebrahim

January 2005

Background: In recent years, outcome prediction models using artificial neural network and multivari...

Integrating artificial neural network and scoring systems to increase the prediction accuracy of patient mortality and organ dysfunction

Noorbakhsh, Seyed Ayoob
Mahmoodi-Eshkaftaki, Mahmood
Mokhtari, Zahra

January 2020

The aim of this study was to develop and compare techniques to increase the prediction accuracy of p...

Comparison of ANN and LR in Training Set, % (N = 927).

Ying-Jui Chang (345484)
Min-Li Yeh (345485)
Yu-Chuan Li (306790)
Chien-Yeh Hsu (345486)
Chao-Cheng Lin (345488)
Meng-Shiuan Hsu (345490)
Wen-Ta Chiu (319104)

February 2013

aMean±SE,bcomparison with same variables set,ccomparison with ANN model,dcom...

Prediction models using multiple logistic regression and artificial neural network.

Zi-Hui Tang (441972)
Juanmei Liu (441973)
Fangfang Zeng (119108)
Zhongtao Li (441974)
Xiaoling Yu (354738)
Linuo Zhou (119102)

August 2013

Note: AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negativ...

Comparison of ANN, LR and Scoring in External Validation, % (N = 2,500).

Ying-Jui Chang (345484)
Min-Li Yeh (345485)
Yu-Chuan Li (306790)
Chien-Yeh Hsu (345486)
Chao-Cheng Lin (345488)
Meng-Shiuan Hsu (345490)
Wen-Ta Chiu (319104)

February 2013

aMean±SE,bcomparison with ANN model.Group 1: all variables.Group 3: medical ...

Comparison of Artificial Neural Network with Logistic Regression as ClassificationModels for Variable Selection for Prediction of Breast Cancer Patient Outcomes

Bourdès, Valérie
Bonnevay, Stephane
Lisboa, Paolo
Defrance, Rémi
Pérol, David
Chabaud, Sylvie
Bachelot, Thomas
Gargi, Thérèse
Négrier, Sylvie

June 2010

International audienceThe aim of this study was to compare multilayer perceptron neural networks (NN...

Artificial Neural Networks to Predict Mortality in Critical Care Patients: An Application of Supervised Machine Learning.

David A. Cook

January 2015

contemporaneous, formative computer analysis into the delivery and assessment of patient care, with ...

Mortality assessment in intensive care units via adverse events using artificial neural networks

Silva, Álvaro
Cortez, Paulo
Santos, Manuel Filipe
Gomes, Lopes
Neves, José

January 2006

This work presents a novel approach for the prediction of mortality in intensive care units (ICUs) b...

Predicting In-Hospital Mortality from Intensive Care Admissions Records with Recurrent Neural Networks

Wilks, Asa

January 2021

This study explores the implications of different modeling choices when predicting mortalityduring i...

Analysis of Existing Severity Scores and Development of New Models for Hospital Mortality Prediction

Baden, Lucy Marie

January 2018

Severity scoring systems are frequently used in hospital intensive care units to assess patient well...

Comparison of 1000 pairs of ANN and LR models for predicting in-hospital mortality.

Hon-Yi Shi (105917)
King-Teh Lee (105939)
Hao-Hsien Lee (105924)
Wen-Hsien Ho (105934)
Ding-Ping Sun (324883)
Jhi-Joung Wang (324884)
Chong-Chi Chiu (105942)

February 2013

ANN = artificial neural network; LR = logistic regression; Hosmer-Lemeshow statistics = H-L stati...

Mortality prediction performance (i.e., accuracy, sensitivity, and specificity) for the LR, SVM, DT, NB, and ANN models on training and test sets.

Cheng-Shyuan Rau (478107)
Pao-Jen Kuo (3448835)
Peng-Chen Chien (4582963)
Chun-Ying Huang (4372900)
Hsiao-Yun Hsieh (3448832)
Ching-Hua Hsieh (478112)

November 2018

Mortality prediction performance (i.e., accuracy, sensitivity, and specificity) for the LR, SVM, DT,...

Comparison of Artificial Neural Network and Logistic Regression Models for Predicting In-Hospital Mortality after Primary Liver Cancer Surgery

Shi Hon-Yi
Lee King-Teh
Lee Hao-Hsien
Ho Wen-Hsien
Sun Ding-Ping
Wang Jhi-Joung
Chiu Chong-Chi

April 2012

Since most published articles comparing the performance of artificial neural network (ANN) models an...

Performance comparison of ANN, LR and DT models for predicting 1-, 3- and 5-year disease-free survival in validation groups.

Wen-Hsien Ho (105934)
King-Teh Lee (105939)
Hong-Yaw Chen (336306)
Te-Wei Ho (336308)
Herng-Chia Chiu (336309)

February 2013

Performance comparison of ANN, LR and DT models for predicting 1-, 3- and 5-year disease-free sur...

Comparison of artificial neural network and logistic regression models for predicting in-hospital mortality after primary liver cancer surgery.

Hon-Yi Shi
King-Teh Lee
Hao-Hsien Lee
Wen-Hsien Ho
Ding-Ping Sun
Jhi-Joung Wang
Chong-Chi Chiu

BACKGROUND: Since most published articles comparing the performance of artificial neural network (AN...

Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data

Eftekhar, Behzad
Mohammad, Kazem
Ardebili, Hassan Eftekhar
Ghodsi, Mohammad
Ketabchi, Ebrahim

January 2005

Background: In recent years, outcome prediction models using artificial neural network and multivari...

Integrating artificial neural network and scoring systems to increase the prediction accuracy of patient mortality and organ dysfunction

Noorbakhsh, Seyed Ayoob
Mahmoodi-Eshkaftaki, Mahmood
Mokhtari, Zahra

January 2020

The aim of this study was to develop and compare techniques to increase the prediction accuracy of p...

Comparison of ANN and LR in Training Set, % (N = 927).

Ying-Jui Chang (345484)
Min-Li Yeh (345485)
Yu-Chuan Li (306790)
Chien-Yeh Hsu (345486)
Chao-Cheng Lin (345488)
Meng-Shiuan Hsu (345490)
Wen-Ta Chiu (319104)

February 2013

aMean±SE,bcomparison with same variables set,ccomparison with ANN model,dcom...

Prediction models using multiple logistic regression and artificial neural network.

Zi-Hui Tang (441972)
Juanmei Liu (441973)
Fangfang Zeng (119108)
Zhongtao Li (441974)
Xiaoling Yu (354738)
Linuo Zhou (119102)

August 2013

Note: AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negativ...

Comparison of ANN, LR and Scoring in External Validation, % (N = 2,500).

Ying-Jui Chang (345484)
Min-Li Yeh (345485)
Yu-Chuan Li (306790)
Chien-Yeh Hsu (345486)
Chao-Cheng Lin (345488)
Meng-Shiuan Hsu (345490)
Wen-Ta Chiu (319104)

February 2013

aMean±SE,bcomparison with ANN model.Group 1: all variables.Group 3: medical ...

Comparison of Artificial Neural Network with Logistic Regression as ClassificationModels for Variable Selection for Prediction of Breast Cancer Patient Outcomes

Bourdès, Valérie
Bonnevay, Stephane
Lisboa, Paolo
Defrance, Rémi
Pérol, David
Chabaud, Sylvie
Bachelot, Thomas
Gargi, Thérèse
Négrier, Sylvie

June 2010

International audienceThe aim of this study was to compare multilayer perceptron neural networks (NN...

Artificial Neural Networks to Predict Mortality in Critical Care Patients: An Application of Supervised Machine Learning.

David A. Cook

January 2015

contemporaneous, formative computer analysis into the delivery and assessment of patient care, with ...

Mortality assessment in intensive care units via adverse events using artificial neural networks

Silva, Álvaro
Cortez, Paulo
Santos, Manuel Filipe
Gomes, Lopes
Neves, José

January 2006

This work presents a novel approach for the prediction of mortality in intensive care units (ICUs) b...

Predicting In-Hospital Mortality from Intensive Care Admissions Records with Recurrent Neural Networks

Wilks, Asa

January 2021

This study explores the implications of different modeling choices when predicting mortalityduring i...

Analysis of Existing Severity Scores and Development of New Models for Hospital Mortality Prediction

Baden, Lucy Marie

January 2018

Severity scoring systems are frequently used in hospital intensive care units to assess patient well...

Comparative performance indices of ANN and LR models when using 100 new data sets to predict in-hospital mortality.

Abstract

Extracted data

Comparative performance indices of ANN and LR models when using 100 new data sets to predict in-hospital mortality.

Abstract

Extracted data

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