A SIMPLE TOOL TO ASSESS THE QUALITY OF CLINICAL DATA

Arturo Tozzi
Center for Nonlinear Science, University of North Texas
1155 Union Circle, #311427
Denton, TX 76203-5017, USA, and
Computational Intelligence Laboratory, University of Manitoba, Winnipeg, Canada
Winnipeg R3T 5V6 Manitoba
tozziarturo@libero.it
 
 
James F. Peters
Department of Electrical and Computer Engineering, University of Manitoba
75A Chancellor’s Circle, Winnipeg, MB R3T 5V6, Canada and
Department of Mathematics, Adıyaman University, 02040 Adıyaman, Turkey,
Department of Mathematics, Faculty of Arts and Sciences, Adıyaman University
02040 Adıyaman, Turkey and Computational Intelligence Laboratory, University of
Manitoba, WPG, MB, R3T 5V6, Canada
 

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james.peters3@umanitoba.caArturo Tozzi
Center for Nonlinear Science, University of North Texas
1155 Union Circle, #311427
Denton, TX 76203-5017, USA, and
Computational Intelligence Laboratory, University of Manitoba, Winnipeg, Canada
Winnipeg R3T 5V6 Manitoba
tozziarturo@libero.it
James F. Peters
Department of Electrical and Computer Engineering, University of Manitoba
75A Chancellor’s Circle, Winnipeg, MB R3T 5V6, Canada and
Department of Mathematics, Adıyaman University, 02040 Adıyaman, Turkey,
Department of Mathematics, Faculty of Arts and Sciences, Adıyaman University
02040 Adıyaman, Turkey and Computational Intelligence Laboratory, University of
Manitoba, WPG, MB, R3T 5V6, Canada
james.peters3@umanitoba.ca