Cargando…

A Comparison of Intensive Care Unit Mortality Prediction Models through the Use of Data Mining Techniques

OBJECTIVES: The intensive care environment generates a wealth of critical care data suited to developing a well-calibrated prediction tool. This study was done to develop an intensive care unit (ICU) mortality prediction model built on University of Kentucky Hospital (UKH)'s data and to assess...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Sujin, Kim, Woojae, Park, Rae Woong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Korean Society of Medical Informatics 2011
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259558/ https://www.ncbi.nlm.nih.gov/pubmed/22259725 http://dx.doi.org/10.4258/hir.2011.17.4.232

Ejemplares similares

Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer
por: Kim, Woojae, et al.
Publicado: (2016)

Application of data mining to intensive care unit microbiologic data.
por: Moser, S A, et al.
Publicado: (1999)

Predicting Mortality of COVID-19 Patients based on Data Mining Techniques
por: Moulaei, Khadijeh, et al.
Publicado: (2021)

Comparison of correctly and incorrectly classified patients for in-hospital mortality prediction in the intensive care unit
por: Stenwig, Eline, et al.
Publicado: (2023)

Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis
por: Zhang, Yupei, et al.
Publicado: (2021)

Predicting mortality in the intensive care unit: a comparison of the University Health Consortium expected probability of mortality and the Mortality Prediction Model III
por: Lipshutz, Angela K. M., et al.
Publicado: (2016)

Use of photoplethysmography to predict mortality in intensive care units
por: de Souza Kock, Kelser, et al.
Publicado: (2018)

New Alert Override Codes for the Drug Utilization Review System Derived from Outpatient Prescription Data from a Tertiary Teaching Hospital in Korea
por: Jang, Chul, et al.
Publicado: (2016)

Comparison of mNUTRIC-S2 and mNUTRIC scores to assess nutritional risk and predict intensive care unit mortality
por: Kim, So Jeong, et al.
Publicado: (2022)

Data Mining Based Techniques for Covid-19 Predictions
por: Rane, Rahul, et al.
Publicado: (2023)

Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units
por: Hsieh, Meng Hsuen, et al.
Publicado: (2018)

Performance profiling of the unit trust funds in Malaysia with data mining techniques
por: Khairuddin, Aida Farah, et al.
Publicado: (2021)

Lawsuit lead time prediction: Comparison of data mining techniques based on categorical response variable
por: Gruginskie, Lúcia Adriana dos Santos, et al.
Publicado: (2018)

Corrigendum: Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis
por: Zhang, Yupei, et al.
Publicado: (2022)

Performance Comparison of Machine Learning Approaches on Hepatitis C Prediction Employing Data Mining Techniques
por: Alizargar, Azadeh, et al.
Publicado: (2023)

R data mining: implement data mining techniques through practical use cases and real-world datasets
por: Cirillo, Andrea
Publicado: (2017)

Prediction of Mortality in Surgical Intensive Care Unit Patients Using Machine Learning Algorithms
por: Yun, Kyongsik, et al.
Publicado: (2021)

Validation of Pediatric Index of Mortality 3 for Predicting Mortality among Patients Admitted to a Pediatric Intensive Care Unit
por: Jung, Jae Hwa, et al.
Publicado: (2018)

Simple prediction of mortality in case of readmission to the intensive care unit
por: Klimasauskas, A, et al.
Publicado: (2007)

Analysis of Relationship between Levofloxacin and Corrected QT Prolongation Using a Clinical Data Warehouse
por: Park, Man Young, et al.
Publicado: (2011)

A comparison between raw and predicted mortality in a paediatric intensive care unit in South Africa
por: Ballot, Daynia Elizabeth, et al.
Publicado: (2018)

Development of Novel Breast Cancer Recurrence Prediction Model Using Support Vector Machine
por: Kim, Woojae, et al.
Publicado: (2012)

Data Mining: Concepts and Techniques
por: Han, Jiawei, et al.
Publicado: (2011)

Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission
por: Lee, Bongjin, et al.
Publicado: (2021)

Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients
por: Wang, Kan, et al.
Publicado: (2022)

Early pH Change Predicts Intensive Care Unit Mortality
por: Samanta, Sujay, et al.
Publicado: (2018)

Performance of D-dimer for predicting sepsis mortality in the intensive care unit
por: Han, Yan-Qiu, et al.
Publicado: (2021)

Mortality Prediction of COVID-19 Patients at Intensive Care Unit Admission
por: Ganesan, Rajarajan, et al.
Publicado: (2021)

An Automated Measurement of Ciliary Beating Frequency using a Combined Optical Flow and Peak Detection
por: Kim, Woojae, et al.
Publicado: (2011)

Comparison of Pediatric Sequential Organ Failure Assessment and Pediatric Risk of Mortality III Score as Mortality Prediction in Pediatric Intensive Care Unit
por: Baloch, Sadam H, et al.
Publicado: (2022)

Real-Data Comparison of Data Mining Methods in Prediction of Diabetes in Iran
por: Tapak, Lily, et al.
Publicado: (2013)

Development and Validation of Simplified Delirium Prediction Model in Intensive Care Unit
por: Kim, Min-Kyeong, et al.
Publicado: (2022)

Effective heart disease prediction system using data mining techniques
por: Singh, Poornima, et al.
Publicado: (2018)

Applying Data Mining Techniques for Predicting Prognosis in Patients with Rheumatoid Arthritis
por: Wu, Chien-Ting, et al.
Publicado: (2020)

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques
por: Kaur, Ishleen, et al.
Publicado: (2021)

Predicting students’ performance in English and Mathematics using data mining techniques
por: Roslan, Muhammad Haziq Bin, et al.
Publicado: (2022)

Early glycaemic variability increases 28-day mortality and prolongs intensive care unit stay in critically ill patients with pneumonia
por: Kim, Seong Ho, et al.
Publicado: (2022)

Data Mining Techniques in Medical Informatics
por: Acharya, U. Rajendra, et al.
Publicado: (2010)

Socioeconomic inequality of cancer mortality in the United States: a spatial data mining approach
por: Vinnakota, Srinivas, et al.
Publicado: (2006)

Comparison of intensive care unit mortality performances: standardized mortality ratio vs absolute risk reduction
por: Afessa, B, et al.
Publicado: (2007)

Cannot write session to /tmp/vufind_sessions/sess_7fmrkcaer7oi5g7q4jt9hl7f5t