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Publication
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| Title of Article |
Improve discrimination power of serum markers for diagnosis of cholangiocarcinoma using data mining-based approach |
| Date of Acceptance |
1 April 2015 |
| Journal |
| Title of Journal |
Clinical Biochemistry |
| Standard |
ISI |
| Institute of Journal |
Elsevier |
| ISBN/ISSN |
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| Volume |
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| Issue |
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| Month |
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| Year of Publication |
2015 |
| Page |
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| Abstract |
Cholangiocarcinoma (CCA) is usually fatal because of absence of tests for early detection and
lack of effective therapy. Tumor markers with adequate diagnostic values are of clinical significance. a)
Objective: This study is aimed to improve the diagnostic power of serum markers using the
computational data mining technique to develop a combined diagnostic model that yielded the best
diagnostic values for CCA. b) Design and Methods: Eight CCA-associated markers—carcinoembryonic
antigen, carbohydrate antigen 19-9, alkaline phosphatase (ALP), and gamma glutamyl transferase,
biliary-ALP, mucin5AC, CCA-associated carbohydrate antigen (CCA-CA) and CA-S27— were used as the
inputs for the C4.5 decision tree classification model and the selected model was confirmed by ANN
analyses. Eight serum markers for CCA were determined in the training set of 85 histologically provenCCA
patients and 82 control subjects. The chosen set of combined markers that gave the best
diagnostic values for CCA was then validated in the testing set of 22 CCA patients and 60 controls. c)
Results: A decision tree diagram built by the C4.5 algorithm suggested the serial analysis of CCA-CA
and ALP for distinguishing CCA patients from non-CCA subjects with all diagnostic parameters ≥ 95%.
The combined tests showed a precise diagnosis in the testing set. d) Conclusions: The C4.5 model
indicates the combined markers of CCA-CA and ALP that produced the more precise diagnosis for CCA. |
| Keyword |
tumor markers; combined analysis; C4.5 decision tree; single neural network, hepatobiliary; ALP; mucin |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ได้รับการตอบรับให้ตีพิมพ์ |
| Level of Publication |
นานาชาติ |
| citation |
true |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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