A Reproducible ETL Approach for Window-based Prediction of Acute Kidney Injury in Critical Care Unit and Some Preliminary Results with Support Vector Machines

Diagnostic Approach to Acute Kidney Injury in the Critical Care Unit

Infectious Diseases and Antimicrobial Stewardship in Critical Care Medicine ◽

10.1201/9781315099538-26 ◽

2020 ◽

pp. 293-303

Author(s):

Sonali Gupta ◽

Divyansh Bajaj ◽

Sana Idrees ◽

Joseph Mattana

Keyword(s):

Acute Kidney Injury ◽

Critical Care ◽

Critical Care Unit ◽

Kidney Injury ◽

Diagnostic Approach

Evaluating the performance of support vector machines (SVMs) and random forest (RF) in Li-pegmatite mapping: preliminary results

Earth Resources and Environmental Remote Sensing/GIS Applications X ◽

10.1117/12.2532577 ◽

2019 ◽

Author(s):

Joana Cardoso-Fernandes ◽

Ana Claudia Moreira Teodoro ◽

Alexandre Lima ◽

E. Roda-Robles

Keyword(s):

Support Vector Machines ◽

Random Forest ◽

Support Vector ◽

Preliminary Results ◽

Acute kidney injury management using intermittent low efficiency haemodiafiltration in a critical care unit: 39 dogs (2012–2015)

Acta Veterinaria Scandinavica ◽

10.1186/s13028-019-0452-6 ◽

2019 ◽

Vol 61 (1) ◽

Author(s):

Maxime Cambournac ◽

Isabelle Goy-Thollot ◽

Julien Guillaumin ◽

Jean-Yves Ayoub ◽

Céline Pouzot-Nevoret ◽

...

Keyword(s):

Acute Kidney Injury ◽

Critical Care ◽

Critical Care Unit ◽

Kidney Injury ◽

Injury Management ◽

Low Efficiency

Adaptive sensor arrays for acoustic monitoring of bird behavior and diversity: preliminary results on source identification using support vector machines

Artificial Life and Robotics ◽

10.1007/s10015-009-0705-y ◽

2009 ◽

Vol 14 (4) ◽

pp. 485-488 ◽

Cited By ~ 4

Author(s):

Edgar E. Vallejo ◽

Charles E. Taylor

Keyword(s):

Support Vector Machines ◽

Source Identification ◽

Sensor Arrays ◽

Acoustic Monitoring ◽

Support Vector ◽

Preliminary Results ◽

Vector Machines ◽

Bird Behavior

Case mix, outcome and activity for patients with severe acute kidney injury during the first 24 hours after admission to an adult, general critical care unit: application of predictive models from a secondary analysis of the ICNARC Case Mix Programme Database

Critical Care ◽

10.1186/cc7003 ◽

2008 ◽

Vol 12 (Suppl 1) ◽

pp. S2 ◽

Cited By ~ 41

Author(s):

Nitin V Kolhe ◽

Paul E Stevens ◽

Alex V Crowe ◽

Graham W Lipkin ◽

David A Harrison

Keyword(s):

Acute Kidney Injury ◽

Critical Care ◽

Predictive Models ◽

Critical Care Unit ◽

Secondary Analysis ◽

Kidney Injury ◽

Case Mix

Acute kidney injury without previous renal disease in critical care unit

Pediatrics International ◽

10.1111/ped.14218 ◽

2020 ◽

Vol 62 (7) ◽

pp. 810-815 ◽

Author(s):

Nuntawan Piyaphanee ◽

Sivaporn Chaiyaumporn ◽

Suwannee Phumeetham ◽

Kraisoon Lomjansook ◽

Achra Sumboonnanonda

Keyword(s):

Acute Kidney Injury ◽

Critical Care ◽

Renal Disease ◽

Critical Care Unit ◽

Kidney Injury

Incidence of acute kidney injury and its contributing factors among patients of critical care unit.

Journal of Medical Case Reports and Case Series ◽

10.38207/jmcrcs20210085 ◽

2021 ◽

pp. 1-7

Keyword(s):

Acute Kidney Injury ◽

Critical Care ◽

Critical Care Unit ◽

Kidney Injury ◽

Contributing Factors

Learning to Generate Optimized Term Weighting for Web Documents Classification - A Parallel Mimetic Approach Based on Support Vector Machines

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v11i12.10964 ◽

2016 ◽

Vol 11 (12) ◽

pp. 1147

Author(s):

Abderrahmane Bendahmane ◽

Abdelkader Benyettou

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Term Weighting ◽

Web Documents ◽

Application of nonlinear feature extraction and least square support vector machines for fault diagnosis of chemical process

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00236 ◽

2010 ◽

Vol 30 (1) ◽

pp. 236-239 ◽

Author(s):

Liang XU

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Support Vector Machines ◽

Chemical Process ◽

Least Square ◽

Support Vector ◽

Vector Machines ◽

Nonlinear Feature Extraction ◽

Nonlinear Feature

Combining Market and Accounting-Based Models for Credit Scoring Using a Classification Scheme Based on Support Vector Machines

SSRN Electronic Journal ◽

10.2139/ssrn.2156220 ◽

2012 ◽

Author(s):

Dimitrios Niklis ◽

Michael Doumpos ◽

C. Zopounidis

Keyword(s):

Support Vector Machines ◽

Classification Scheme ◽

Credit Scoring ◽

Support Vector ◽