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17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04)
Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials
Bethesda, Maryland
June 24-June 25
ISBN: 0-7695-2104-5
ASCII Text
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Bhavesh D. Goswami, Lawrence O. Hall, Dmitry B. Goldgof, Eugene Fink, Jeffrey P. Krischer, "Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials," Computer-Based Medical Systems, IEEE Symposium on, pp. 434, 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04), 2004.
 
 
BibTex
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@article{ 10.1109/CBMS.2004.1311753,
author = {Bhavesh D. Goswami and Lawrence O. Hall and Dmitry B. Goldgof and Eugene Fink and Jeffrey P. Krischer},
title = {Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2004},
issn = {1063-7125},
pages = {434},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2004.1311753},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials
SN - 1063-7125
SP
EP
A1 - Bhavesh D. Goswami,
A1 - Lawrence O. Hall,
A1 - Dmitry B. Goldgof,
A1 - Eugene Fink,
A1 - Jeffrey P. Krischer,
PY - 2004
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Bhavesh D. Goswami, University of South Florida, Tampa, FL
Lawrence O. Hall, University of South Florida, Tampa, FL
Dmitry B. Goldgof, University of South Florida, Tampa, FL
Eugene Fink, University of South Florida, Tampa, FL
Jeffrey P. Krischer, University of South Florida, Tampa, FL
A clinical trial is a study conducted on a group of patients to evaluate a new treatment procedure. Usually, clinicians manually select patients for a clinical trial; the choice of eligible patients is a labor-intensive process, and clinicians are often unable to identify sufficient number of patients, which delays the evaluation of new treatments. We have developed a web-based system that helps clinicians to determine the eligibility of patients for multiple clinical trials. It uses probabilistic techniques that minimize the amount of manual data entry, by ordering the related data-entry steps. We describe the developed system and give the results of applying it to retrospective data of breast cancer patients at the Moffitt Cancer Center.
Citation:
Bhavesh D. Goswami, Lawrence O. Hall, Dmitry B. Goldgof, Eugene Fink, Jeffrey P. Krischer, "Using Probabilistic Methods to Optimize Data Entry in Accrual of Patients to Clinical Trials," cbms, pp.434, 17th IEEE Symposium on Computer-Based Medical Systems (CBMS'04), 2004
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