The Observation Report of Red Blood Cell Morphology in Thailand Teenager by Using Data Mining Technique
Joint Authors
Chulsomlee, Sucha
Sanmun, Duangmanee
Pongsuchart, Pornsuri
Thangrua, Nonthaya
Saichanma, Sarawut
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-13
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
It is undeniable that laboratory information is important in healthcare in many ways such as management, planning, and quality improvement.
Laboratory diagnosis and laboratory results from each patient are organized from every treatment.
These data are useful for retrospective study exploring a relationship between laboratory results and diseases.
By doing so, it increases efficiency in diagnosis and quality in laboratory report.
Our study will utilize J48 algorithm, a data mining technique to predict abnormality in peripheral blood smear from 1,362 students by using 13 data set of hematological parameters gathered from automated blood cell counter.
We found that the decision tree which is created from the algorithm can be used as a practical guideline for RBC morphology prediction by using 4 hematological parameters (MCV, MCH, Hct, and RBC).
The average prediction of RBC morphology has true positive, false positive, precision, recall, and accuracy of 0.940, 0.050, 0.945, 0.940, and 0.943, respectively.
A newly found paradigm in managing medical laboratory information will be helpful in organizing, researching, and assisting correlation in multiple disciplinary other than medical science which will eventually lead to an improvement in quality of test results and more accurate diagnosis.
American Psychological Association (APA)
Saichanma, Sarawut& Chulsomlee, Sucha& Thangrua, Nonthaya& Pongsuchart, Pornsuri& Sanmun, Duangmanee. 2014. The Observation Report of Red Blood Cell Morphology in Thailand Teenager by Using Data Mining Technique. Advances in Hematology،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-476078
Modern Language Association (MLA)
Saichanma, Sarawut…[et al.]. The Observation Report of Red Blood Cell Morphology in Thailand Teenager by Using Data Mining Technique. Advances in Hematology No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-476078
American Medical Association (AMA)
Saichanma, Sarawut& Chulsomlee, Sucha& Thangrua, Nonthaya& Pongsuchart, Pornsuri& Sanmun, Duangmanee. The Observation Report of Red Blood Cell Morphology in Thailand Teenager by Using Data Mining Technique. Advances in Hematology. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-476078
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476078