Type 2 diabetes data processing with EM and C4.5 Algorithm

Juan Gao; Sen Lin Luo; Hong Bo Jia; Tie Mei Zhang; Yi Wen Han

doi:10.1109/ICCME.2007.4381759

Type 2 diabetes data processing with EM and C4.5 Algorithm

Juan Gao^*, Sen Lin Luo, Hong Bo Jia, Tie Mei Zhang, Yi Wen Han

^*Corresponding author for this work

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

This research combines EM (Expectation maximization) Algorithm and C4.5 Algorithm together to build a type 2 diabetes data processing system. Taking the advantage of the nearly 14000 items of multi-source, multi-dimension practical dataset, and a series of data mining experiments are designed. With the large quantity of experiments and results analysis, some valuable pathological knowledge of type 2 diabetes was discovered, which includes, the decision tree is almost identical with the list of clinical diabetic risk factors, and the rate of correct recognition for healthy people was 80.9% while for diabetic patients was 92.05%; three new blood glucose threshold 5.85mmol/l, 5.26mmol/l and 4.28mmol/l, The valuable results are good to the cure and macro-control type 2 diabetes.

Original language	English
Title of host publication	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
Pages	371-377
Number of pages	7
DOIs	https://doi.org/10.1109/ICCME.2007.4381759
Publication status	Published - 2007
Event	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 - Beijing, China Duration: 23 May 2007 → 27 May 2007

Publication series

Name	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

Conference

Conference	2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
Country/Territory	China
City	Beijing
Period	23/05/07 → 27/05/07

Keywords

Critical value
EM Algorithm, C4.5 Algorithm
Type 2 diabetes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICCME.2007.4381759

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title = "Type 2 diabetes data processing with EM and C4.5 Algorithm",

abstract = "This research combines EM (Expectation maximization) Algorithm and C4.5 Algorithm together to build a type 2 diabetes data processing system. Taking the advantage of the nearly 14000 items of multi-source, multi-dimension practical dataset, and a series of data mining experiments are designed. With the large quantity of experiments and results analysis, some valuable pathological knowledge of type 2 diabetes was discovered, which includes, the decision tree is almost identical with the list of clinical diabetic risk factors, and the rate of correct recognition for healthy people was 80.9% while for diabetic patients was 92.05%; three new blood glucose threshold 5.85mmol/l, 5.26mmol/l and 4.28mmol/l, The valuable results are good to the cure and macro-control type 2 diabetes.",

keywords = "Critical value, EM Algorithm, C4.5 Algorithm, Type 2 diabetes",

author = "Juan Gao and Luo, {Sen Lin} and Jia, {Hong Bo} and Zhang, {Tie Mei} and Han, {Yi Wen}",

year = "2007",

doi = "10.1109/ICCME.2007.4381759",

language = "English",

isbn = "1424410789",

series = "2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007",

pages = "371--377",

booktitle = "2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007",

note = "2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 ; Conference date: 23-05-2007 Through 27-05-2007",

}

Gao, J, Luo, SL, Jia, HB, Zhang, TM & Han, YW 2007, Type 2 diabetes data processing with EM and C4.5 Algorithm. in 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007., 4381759, 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007, pp. 371-377, 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007, Beijing, China, 23/05/07. https://doi.org/10.1109/ICCME.2007.4381759

Type 2 diabetes data processing with EM and C4.5 Algorithm. / Gao, Juan; Luo, Sen Lin; Jia, Hong Bo et al.
2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007. 2007. p. 371-377 4381759 (2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Type 2 diabetes data processing with EM and C4.5 Algorithm

AU - Gao, Juan

AU - Luo, Sen Lin

AU - Jia, Hong Bo

AU - Zhang, Tie Mei

AU - Han, Yi Wen

PY - 2007

Y1 - 2007

N2 - This research combines EM (Expectation maximization) Algorithm and C4.5 Algorithm together to build a type 2 diabetes data processing system. Taking the advantage of the nearly 14000 items of multi-source, multi-dimension practical dataset, and a series of data mining experiments are designed. With the large quantity of experiments and results analysis, some valuable pathological knowledge of type 2 diabetes was discovered, which includes, the decision tree is almost identical with the list of clinical diabetic risk factors, and the rate of correct recognition for healthy people was 80.9% while for diabetic patients was 92.05%; three new blood glucose threshold 5.85mmol/l, 5.26mmol/l and 4.28mmol/l, The valuable results are good to the cure and macro-control type 2 diabetes.

AB - This research combines EM (Expectation maximization) Algorithm and C4.5 Algorithm together to build a type 2 diabetes data processing system. Taking the advantage of the nearly 14000 items of multi-source, multi-dimension practical dataset, and a series of data mining experiments are designed. With the large quantity of experiments and results analysis, some valuable pathological knowledge of type 2 diabetes was discovered, which includes, the decision tree is almost identical with the list of clinical diabetic risk factors, and the rate of correct recognition for healthy people was 80.9% while for diabetic patients was 92.05%; three new blood glucose threshold 5.85mmol/l, 5.26mmol/l and 4.28mmol/l, The valuable results are good to the cure and macro-control type 2 diabetes.

KW - Critical value

KW - EM Algorithm, C4.5 Algorithm

KW - Type 2 diabetes

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M3 - Conference contribution

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SN - 1424410789

SN - 9781424410781

T3 - 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

SP - 371

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BT - 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

T2 - 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007

Y2 - 23 May 2007 through 27 May 2007

ER -

Type 2 diabetes data processing with EM and C4.5 Algorithm

Abstract

Publication series

Conference

Keywords

UN SDGs

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